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DeepSparkHub selects hundreds of application algorithms and models, covering various fields of AI and general-purpose computing, to support the mainstream intelligent computing scenarios. This repository is the mirror of Gitee.

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[<img alt="English" src="https://img.shields.io/badge/Language-English-blue.svg">](README_en.md) [<img alt="Chinese" src="https://img.shields.io/badge/语言-简体中文-red.svg">](README.md)

# DeepSparkHub

`DeepSparkHub`甄选上百个应用算法和模型，覆盖 AI 和通用计算各领域，支持主流市场智能计算场景，包括智慧城市、数字个人、医疗、教育、通信、能源等多个领域。

## 模型库

### 大语言模型（LLM）

| Model                                                          | Framework          | Dataset/Weight           | IXUCA SDK |
|----------------------------------------------------------------|--------------------|--------------------------|-----------|
| [Aquila2-34B](models/nlp/llm/aquila2-34b/pytorch)              | Megatron-DeepSpeed | Bookcorpus               | 3.4.0     |
| [Baichuan2-7B](models/nlp/llm/baichuan2-7b/pytorch)            | DeepSpeed          | baichuan2-7b-base        | 3.4.0     |
| [Bloom-7B1](models/nlp/llm/bloom-7b1/pytorch)                  | Firefly            | school_math_0.25M        | 3.4.0     |
| [ChatGLM-6B](models/nlp/llm/chatglm-6b/pytorch)                | DeepSpeed          | ADGEN & chatglm-6b       | 3.1.0     |
| [ChatGLM2-6B SFT](models/nlp/llm/chatglm2-6b-sft/pytorch)      | DeepSpeed          | ADGEN & chatglm2-6b      | 3.4.0     |
| [ChatGLM3-6B](models/nlp/llm/chatglm3-6b/pytorch)              | DeepSpeed          | ADGEN & chatglm3-6b      | 4.2.0     |
| [DeepSeekMoE](models/nlp/llm/deepseek-moe/pytorch)             | ColossalAI         | deepseek-moe-16b-base    | 4.2.0     |
| [DeepSeek-LLM-7B](models/nlp/llm/deepseek-llm-7b/verl)         | verl               | deepseek-llm-7b-chat     | 4.3.0     |
| [GLM-4](models/nlp/llm/glm-4/pytorch)                          | Torchrun           | glm-4-9b-chat            | 4.2.0     |
| [Gemma-2-2B-IT](models/nlp/llm/gemma-2-2b-it/verl)             | verl               | gemma-2-2b-it            | 4.3.0     |
| [Llama-7B](models/nlp/llm/llama-7b/pytorch)                    | ColossalAI         | llama-7b-hf              | 3.1.0     |
| [Llama2-7B](models/nlp/llm/llama2-7b/pytorch)                  | Megatron-DeepSpeed | Bookcorpus               | 3.1.0     |
| [Llama2-7B RMF](models/nlp/llm/llama2-7b_reward_sft/pytorch)   | DeepSpeed          | Dahoas/rm-static         | 3.1.1     |
| [Llama2-7B RLHF](models/nlp/llm/llama2-7b_rlhf/pytorch)        | Megatron-DeepSpeed | llama2-7b&tiny-llama     | 3.4.0     |
| [Llama2-7B SFT](models/nlp/llm/llama2-7b_sft/pytorch)          | Megatron-DeepSpeed | GPT Small-117M           | 3.1.1     |
| [Llama2-13B](models/nlp/llm/llama2-13b/pytorch)                | Megatron-DeepSpeed | Bookcorpus               | 3.4.0     |
| [Llama2-34B](models/nlp/llm/llama2-34b/pytorch)                | Megatron-DeepSpeed | Bookcorpus               | 3.4.0     |
| [Llama3-8B](models/nlp/llm/llama3_8b/pytorch)                  | Megatron-DeepSpeed | Bookcorpus               | 4.2.0     |
| [Llama3-8B](models/nlp/llm/llama3_8b/megatron-lm)              | Megatron-LM        | GPT Small-117M           | 4.3.0     |
| [Llama3-8B SFT](models/nlp/llm/llama3_8b_sft/pytorch)          | ColossalAI         | school_math_0.25M        | 4.2.0     |
| [Llama3-8B SFT](models/nlp/llm/llama3_8b/openrlhf)             | OpenRLHF           | Meta-Llama-3-8B          | 4.3.0     |
| [Llama3-8B PPO](models/nlp/llm/llama3_8b/openrlhf)             | OpenRLHF           | Llama-3-8b-sft-mixture   | 4.2.0     |
| [Llama3-8B DPO](models/nlp/llm/llama3_8b/openrlhf)             | OpenRLHF           | Llama-3-8b-sft-mixture   | 4.2.0     |
| [Llama3-8B KTO](models/nlp/llm/llama3_8b/openrlhf)             | OpenRLHF           | Llama-3-8b-sft-mixture   | 4.2.0     |
| [Llama3-8B DPO](models/nlp/llm/llama3_8b/llamafactory)         | LLaMA-Factory      | Meta-Llama-3-8B-Instruct | 4.3.0     |
| [Llama3-8B Full SFT](models/nlp/llm/llama3_8b/llamafactory)    | LLaMA-Factory      | Meta-Llama-3-8B-Instruct | 4.3.0     |
| [Llama3-8B KTO](models/nlp/llm/llama3_8b/llamafactory)         | LLaMA-Factory      | Meta-Llama-3-8B-Instruct | 4.3.0     |
| [Llama3-8B Pretrain](models/nlp/llm/llama3_8b/llamafactory)    | LLaMA-Factory      | Meta-Llama-3-8B-Instruct | 4.3.0     |
| [Llama3-8B Reward](models/nlp/llm/llama3_8b/llamafactory)      | LLaMA-Factory      | Meta-Llama-3-8B-Instruct | 4.3.0     |
| [Llama3-8B SFT](models/nlp/llm/llama3_8b/llamafactory)         | LLaMA-Factory      | Meta-Llama-3-8B-Instruct | 4.3.0     |
| [Mamba-2](models/nlp/llm/mamba-2/pytorch)                      | Megatron-LM        | GPT Small-117M           | 4.1.1     |
| [MiniCPM](models/nlp/llm/minicpm/pytorch)                      | DeepSpeed          | MiniCPM-2B-sft-bf16      | 4.2.0     |
| [Mixtral 8x7B](models/nlp/llm/mixtral/pytorch)                 | Megatron-LM        | GPT Small-117M           | 4.2.0     |
| [Mixtral 8x7B](models/nlp/llm/mixtral/openrlhf)                | OpenRLHF           | Mixtral-8x7B-v0.1        | 4.3.0     |
| [Phi-3](models/nlp/llm/phi-3/pytorch)                          | Torchrun           | Phi-3-mini-4k-instruct   | 4.2.0     |
| [QWen-7B](models/nlp/llm/qwen-7b/pytorch)                      | Firefly            | qwen-7b                  | 3.4.0     |
| [QWen1.5-7B](models/nlp/llm/qwen1.5-7b/pytorch)                | Firefly            | school_math              | 4.2.0     |
| [QWen1.5-14B](models/nlp/llm/qwen1.5-14b/pytorch)              | Firefly            | school_math              | 4.2.0     |
| [Qwen2-7B](models/nlp/llm/qwen2-7b/verl)                       | verl               | qwen2-7b                 | 4.3.0     |
| [Qwen2.5-7B SFT](models/nlp/llm/qwen2.5-7b/pytorch)            | LLaMA-Factory      | qwen2.5-7b               | 4.2.0     |
| [Qwen2.5-1.5B verl](models/nlp/llm/qwen2.5-1.5b/verl)          | verl               | qwen2.5-1.5b             | 4.2.0     |
| [Qwen2.5-7B verl](models/nlp/llm/qwen2.5-7b/verl)              | verl               | qwen2.5-7b               | 4.2.0     |
| [Qwen2.5-3B](models/nlp/llm/qwen2.5-3b/pytorch)                | ColossalAI         | qwen2.5-3b               | 4.3.0     |
| [Qwen3-0.6B SFT](models/nlp/llm/qwen3/loongforge)              | LoongForge         | Qwen3-0.6B               | 4.4.0     |
| [Qwen3-0.6B Pretrain](models/nlp/llm/qwen3/loongforge)         | LoongForge         | Qwen3-0.6B               | 4.4.0     |
| [Qwen3-4B SFT](models/nlp/llm/qwen3/loongforge)                | LoongForge         | Qwen3-4B                 | 4.4.0     |
| [Qwen3-4B Pretrain](models/nlp/llm/qwen3/loongforge)           | LoongForge         | Qwen3-4B                 | 4.4.0     |
| [Qwen3-8B SFT](models/nlp/llm/qwen3/loongforge)                | LoongForge         | Qwen3-8B                 | 4.4.0     |
| [Qwen3-8B Pretrain](models/nlp/llm/qwen3/loongforge)           | LoongForge         | Qwen3-8B                 | 4.4.0     |
| [Qwen3-4B Full SFT](models/nlp/llm/qwen3-4b/llamafactory)      | LLaMA-Factory      | Qwen3-4B-Instruct-2507   | 4.4.0     |
| [Qwen3-4B SFT](models/nlp/llm/qwen3-4b/llamafactory)           | LLaMA-Factory      | Qwen3-4B-Instruct-2507   | 4.4.0     |
| [Qwen3-4B DPO](models/nlp/llm/qwen3-4b/llamafactory)           | LLaMA-Factory      | Qwen3-4B-Instruct-2507   | 4.4.0     |
| [Qwen3-4B KTO](models/nlp/llm/qwen3-4b/llamafactory)           | LLaMA-Factory      | Qwen3-4B-Instruct-2507   | 4.4.0     |
| [Qwen3-4B Pretrain](models/nlp/llm/qwen3-4b/llamafactory)      | LLaMA-Factory      | Qwen3-4B-Instruct-2507   | 4.4.0     |
| [Qwen3-4B Reward](models/nlp/llm/qwen3-4b/llamafactory)        | LLaMA-Factory      | Qwen3-4B-Instruct-2507   | 4.4.0     |
| [Qwen3-8B](models/nlp/llm/qwen3-8b/verl)                       | verl               | qwen3-8b                 | 4.3.0     |
| [Yi-6B](models/nlp/llm/yi-6b/pytorch)                          | DeepSpeed          | Yi-6B                    | 4.2.0     |
| [Yi-1.5-6B](models/nlp/llm/yi-1.5-6b/pytorch)                  | DeepSpeed          | Yi-1.5-6B                | 4.2.0     |
| [Yi-VL-6B](models/nlp/llm/yi-vl-6b/pytorch)                    | LLaMA-Factory      | Yi-VL-6B-hf              | 4.2.0     |

### 计算机视觉（CV）

#### 视觉分类

| Model                                                                                | Framework    | Dataset  | IXUCA SDK |
|--------------------------------------------------------------------------------------|--------------|----------|-----------|
| [ACmix](models/cv/classification/acmix/pytorch)                                      | PyTorch      | ImageNet | 2.2.0     |
| [ACNet](models/cv/classification/acnet/pytorch)                                      | PyTorch      | ImageNet | 3.1.0     |
| [AlexNet](models/cv/classification/alexnet/pytorch)                                  | PyTorch      | ImageNet | 2.2.0     |
| [AlexNet](models/cv/classification/alexnet/tensorflow)                               | TensorFlow   | ImageNet | 3.1.0     |
| [BYOL](models/cv/classification/byol/pytorch)                                        | PyTorch      | ImageNet | 3.1.0     |
| [CBAM](models/cv/classification/cbam/pytorch)                                        | PyTorch      | ImageNet | 3.0.0     |
| [ConvNext](models/cv/classification/convnext/pytorch)                                | PyTorch      | ImageNet | 2.2.0     |
| [CspDarknet53](models/cv/classification/cspdarknet53/pytorch)                        | PyTorch      | ImageNet | 3.0.0     |
| [DenseNet](models/cv/classification/densenet/paddlepaddle)                           | PaddlePaddle | ImageNet | 3.1.0     |
| [DenseNet](models/cv/classification/densenet/pytorch)                                | PyTorch      | ImageNet | 2.2.0     |
| [DPN92](models/cv/classification/dpn92/pytorch)                                      | PyTorch      | ImageNet | 2.2.0     |
| [DPN107](models/cv/classification/dpn107/pytorch)                                    | PyTorch      | ImageNet | 2.2.0     |
| [ECA-MobileNetV2](models/cv/classification/eca_mobilenet_v2/pytorch)                 | PyTorch      | ImageNet | 2.2.0     |
| [ECA-ResNet152](models/cv/classification/eca_resnet152/pytorch)                      | PyTorch      | ImageNet | 2.2.0     |
| [EfficientNetB0](models/cv/classification/efficientnet_b0/paddlepaddle)              | PaddlePaddle | ImageNet | 3.1.0     |
| [EfficientNetB4](models/cv/classification/efficientnet_b4/pytorch)                   | PyTorch      | ImageNet | 2.2.0     |
| [FasterNet](models/cv/classification/fasternet/pytorch)                              | PyTorch      | ImageNet | 3.0.0     |
| [GoogLeNet](models/cv/classification/googlenet/pytorch)                              | PyTorch      | ImageNet | 2.2.0     |
| [GoogLeNet](models/cv/classification/googlenet/paddlepaddle)                         | PaddlePaddle | ImageNet | 2.3.0     |
| [InceptionV3](models/cv/classification/inceptionv3/mindspore)                        | MindSpore    | ImageNet | 3.1.0     |
| [InceptionV3](models/cv/classification/inceptionv3/pytorch)                          | PyTorch      | ImageNet | 2.2.0     |
| [InceptionV3](models/cv/classification/inceptionv3/tensorflow)                       | TensorFlow   | ImageNet | 3.1.0     |
| [InceptionV4](models/cv/classification/inceptionv4/pytorch)                          | PyTorch      | ImageNet | 2.2.0     |
| [InternImage](models/cv/classification/internimage/pytorch)                          | PyTorch      | ImageNet | 3.1.0     |
| [LeNet](models/cv/classification/lenet/pytorch)                                      | PyTorch      | ImageNet | 2.2.0     |
| [MobileNetV2](models/cv/classification/mobilenetv2/pytorch)                          | PyTorch      | ImageNet | 2.2.0     |
| [MobileNetV3](models/cv/classification/mobilenetv3/mindspore)                        | MindSpore    | ImageNet | 3.1.0     |
| [MobileNetV3](models/cv/classification/mobilenetv3/pytorch)                          | PyTorch      | ImageNet | 2.2.0     |
| [MobileNetV3](models/cv/classification/mobilenetv3/paddlepaddle)                     | PaddlePaddle | ImageNet | 2.3.0     |
| [MobileNetV3_Large1.0](models/cv/classification/mobilenetv3_large_x1_0/paddlepaddle) | PaddlePaddle | ImageNet | 3.1.0     |
| [MobileOne](models/cv/classification/mobileone/pytorch)                              | PyTorch      | ImageNet | 3.1.0     |
| [MoCoV2](models/cv/classification/mocov2/pytorch)                                    | PyTorch      | ImageNet | 3.1.0     |
| [PP-LCNet](models/cv/classification/pp-lcnet/paddlepaddle)                           | PaddlePaddle | ImageNet | 3.1.0     |
| [RepMLP](models/cv/classification/repmlp/pytorch)                                    | PyTorch      | ImageNet | 3.1.0     |
| [RepVGG](models/cv/classification/repvgg/pytorch)                                    | PyTorch      | ImageNet | 3.0.0     |
| [RepVGG](models/cv/classification/repvgg/paddlepaddle)                               | PaddlePaddle | ImageNet | 3.0.0     |
| [RepViT](models/cv/classification/repvit/pytorch)                                    | PyTorch      | ImageNet | 3.1.0     |
| [Res2Net50_14w_8s](models/cv/classification/res2net50_14w_8s/paddlepaddle)           | PaddlePaddle | ImageNet | 3.1.0     |
| [ResNeSt14](models/cv/classification/resnest14/pytorch)                              | PyTorch      | ImageNet | 2.2.0     |
| [ResNeSt50](models/cv/classification/resnest50/pytorch)                              | PyTorch      | ImageNet | 2.2.0     |
| [ResNeSt50](models/cv/classification/resnest50/paddlepaddle)                         | PaddlePaddle | ImageNet | 3.0.0     |
| [ResNeSt101](models/cv/classification/resnest101/pytorch)                            | PyTorch      | ImageNet | 2.2.0     |
| [ResNeSt269](models/cv/classification/resnest269/pytorch)                            | PyTorch      | ImageNet | 2.2.0     |
| [ResNet18](models/cv/classification/resnet18/pytorch)                                | PyTorch      | ImageNet | 2.2.0     |
| [ResNet50](models/cv/classification/resnet50/pytorch)                                | PyTorch      | ImageNet | 2.2.0     |
| [ResNet50](models/cv/classification/resnet50/paddlepaddle)                           | PaddlePaddle | ImageNet | 2.3.0     |
| [ResNet50](models/cv/classification/resnet50/tensorflow)                             | TensorFlow   | ImageNet | 3.0.0     |
| [ResNet101](models/cv/classification/resnet101/pytorch)                              | PyTorch      | ImageNet | 2.2.0     |
| [ResNet152](models/cv/classification/resnet152/pytorch)                              | PyTorch      | ImageNet | 2.2.0     |
| [ResNeXt50_32x4d](models/cv/classification/resnext50_32x4d/mindspore)                | MindSpore    | ImageNet | 3.1.0     |
| [ResNeXt50_32x4d](models/cv/classification/resnext50_32x4d/pytorch)                  | PyTorch      | ImageNet | 2.2.0     |
| [ResNeXt101_32x8d](models/cv/classification/resnext101_32x8d/pytorch)                | PyTorch      | ImageNet | 2.2.0     |
| [SE_ResNet50_vd](models/cv/classification/se_resnet50_vd/paddlepaddle)               | PaddlePaddle | ImageNet | 3.1.0     |
| [SEResNeXt](models/cv/classification/seresnext/pytorch)                              | PyTorch      | ImageNet | 2.2.0     |
| [ShuffleNetV2](models/cv/classification/shufflenetv2/paddlepaddle)                   | PaddlePaddle | ImageNet | 3.1.0     |
| [ShuffleNetV2](models/cv/classification/shufflenetv2/pytorch)                        | PyTorch      | ImageNet | 2.2.0     |
| [SqueezeNet](models/cv/classification/squeezenet/pytorch)                            | PyTorch      | ImageNet | 2.2.0     |
| [Swin Transformer](models/cv/classification/swin_transformer/paddlepaddle)           | PaddlePaddle | ImageNet | 3.0.0     |
| [Swin Transformer](models/cv/classification/swin_transformer/pytorch)                | PyTorch      | ImageNet | 2.2.0     |
| [VGG16](models/cv/classification/vgg/paddlepaddle)                                   | PaddlePaddle | ImageNet | 2.3.0     |
| [VGG16](models/cv/classification/vgg/pytorch)                                        | PyTorch      | ImageNet | 2.2.0     |
| [VGG16](models/cv/classification/vgg/tensorflow)                                     | TensorFlow   | ImageNet | 3.1.0     |
| [Wave-MLP](models/cv/classification/wavemlp/pytorch)                                 | PyTorch      | ImageNet | 2.2.0     |
| [Wide_ResNet101_2](models/cv/classification/wide_resnet101_2/pytorch)                | PyTorch      | ImageNet | 2.2.0     |
| [Xception](models/cv/classification/xception/paddlepaddle)                           | PaddlePaddle | ImageNet | 3.1.0     |
| [Xception](models/cv/classification/xception/pytorch)                                | PyTorch      | ImageNet | 2.2.0     |

#### 人脸检测

| Model                                                     | Framework | Dataset    | IXUCA SDK |
|-----------------------------------------------------------|-----------|------------|-----------|
| [RetinaFace](models/cv/face_detection/retinaface/pytorch) | PyTorch   | WIDER FACE | 3.0.0     |

#### 人脸识别

| Model                                                          | Framework    | Dataset            | IXUCA SDK |
|----------------------------------------------------------------|--------------|--------------------|-----------|
| [ArcFace](models/cv/face_recognition/arcface/pytorch)          | PyTorch      | CASIA-WebFaces&LFW | 3.0.0     |
| [BlazeFace](models/cv/face_recognition/blazeface/paddlepaddle) | PaddlePaddle | WIDER FACE         | 3.1.0     |
| [CosFace](models/cv/face_recognition/cosface/pytorch)          | PyTorch      | CASIA-WebFaces&LFW | 3.0.0     |
| [FaceNet](models/cv/face_recognition/facenet/pytorch)          | PyTorch      | CASIA-WebFaces&LFW | 3.0.0     |
| [FaceNet](models/cv/face_recognition/facenet/tensorflow)       | TensorFlow   | CASIA-WebFaces&LFW | 3.1.0     |

#### 实例分割

| Model                                                      | Framework    | Dataset | IXUCA SDK |
|------------------------------------------------------------|--------------|---------|-----------|
| [SOLO](models/cv/instance_segmentation/solo/pytorch)       | PyTorch      | COCO    | 3.0.0     |
| [SOLOv2](models/cv/detection/solov2/paddlepaddle)          | PaddlePaddle | COCO    | 3.0.0     |
| [SOLOv2](models/cv/instance_segmentation/solov2/pytorch)   | PyTorch      | COCO    | 3.1.0     |
| [YOLACT++](models/cv/instance_segmentation/yolact/pytorch) | PyTorch      | COCO    | 3.0.0     |

#### 图像生成

| Model                                                      | Framework    | Dataset  | IXUCA SDK |
|------------------------------------------------------------|--------------|----------|-----------|
| [DCGAN](models/cv/image_generation/dcgan/mindspore)        | MindSpore    | ImageNet | 3.0.0     |
| [Pix2Pix](models/cv/image_generation/pix2pix/paddlepaddle) | PaddlePaddle | facades  | 3.1.0     |

#### 知识蒸馏

| Model                                    | Framework | Dataset      | IXUCA SDK |
|------------------------------------------|-----------|--------------|-----------|
| [CWD](models/cv/distiller/cwd/pytorch)   | PyTorch   | Cityscapes   | 3.0.0     |
| [RKD](models/cv/distiller/rkd/pytorch)   | PyTorch   | CUB-200-2011 | 3.0.0     |
| [WSLD](models/cv/distiller/wsld/pytorch) | PyTorch   | ImageNet     | 3.1.0     |

#### 目标检测

| Model                                                                | Framework             | Dataset | IXUCA SDK |
|----------------------------------------------------------------------|-----------------------|---------|-----------|
| [ATSS](models/cv/detection/atss_mmdet/pytorch)                       | PyTorch (MMDetection) | COCO    | 3.0.0     |
| [AutoAssign](models/cv/detection/autoassign/pytorch)                 | PyTorch               | COCO    | 2.2.0     |
| [Cascade R-CNN](models/cv/detection/cascade_rcnn_mmdet/pytorch)      | PyTorch (MMDetection) | COCO    | 3.0.0     |
| [CenterMask2](models/cv/detection/centermask2/pytorch)               | PyTorch               | COCO    | 4.1.1     |
| [CenterNet](models/cv/detection/centernet/pytorch)                   | PyTorch               | COCO    | 2.2.0     |
| [CenterNet](models/cv/detection/centernet/paddlepaddle)              | PaddlePaddle          | COCO    | 3.0.0     |
| [Co-DETR](models/cv/detection/co-detr/pytorch)                       | PyTorch               | COCO    | 3.1.0     |
| [CornerNet](models/cv/detection/cornernet_mmdet/pytorch)             | PyTorch (MMDetection) | COCO    | 3.0.0     |
| [DCNV2](models/cv/detection/dcnv2_mmdet/pytorch)                     | PyTorch (MMDetection) | COCO    | 3.0.0     |
| [DETR](models/cv/detection/detr/paddlepaddle)                        | PaddlePaddle          | COCO    | 3.0.0     |
| [Faster R-CNN](models/cv/detection/fasterrcnn/pytorch)               | PyTorch               | COCO    | 2.2.0     |
| [FCOS](models/cv/detection/fcos/paddlepaddle)                        | PaddlePaddle          | COCO    | 3.0.0     |
| [FCOS](models/cv/detection/fcos/pytorch)                             | PyTorch               | COCO    | 3.0.0     |
| [Mamba-YOLO](models/cv/detection/mamba_yolo/pytorch)                 | PyTorch               | COCO    | 4.1.1     |
| [Mask R-CNN](models/cv/detection/maskrcnn/pytorch)                   | PyTorch               | COCO    | 2.2.0     |
| [Mask R-CNN](models/cv/detection/maskrcnn/paddlepaddle)              | PaddlePaddle          | COCO    | 2.3.0     |
| [OC_SORT](models/cv/detection/oc_sort/paddlepaddle)                  | PaddlePaddle          | MOT17   | 3.1.0     |
| [Oriented RepPoints](models/cv/detection/oriented_reppoints/pytorch) | PyTorch               | DOTA    | 3.1.0     |
| [PP-PicoDet](models/cv/detection/picodet/paddlepaddle)               | PaddlePaddle          | COCO    | 3.1.0     |
| [PP-YOLOE](models/cv/detection/pp-yoloe/paddlepaddle)                | PaddlePaddle          | COCO    | 2.3.0     |
| [PP-YOLOE+](models/cv/detection/pp_yoloe+/paddlepaddle)              | PaddlePaddle          | COCO    | 3.1.1     |
| [PVANet](models/cv/detection/pvanet/pytorch)                         | PyTorch               | COCO    | 2.2.0     |
| [RepPoints](models/cv/detection/reppoints_mmdet/pytorch)             | PyTorch (MMDetection) | COCO    | 3.0.0     |
| [RetinaNet](models/cv/detection/retinanet/pytorch)                   | PyTorch               | COCO    | 2.2.0     |
| [RetinaNet](models/cv/detection/retinanet/paddlepaddle)              | PaddlePaddle          | COCO    | 3.0.0     |
| [RT-DETR](models/cv/detection/rt-detr/pytorch)                       | PyTorch               | COCO    | 4.1.1     |
| [RTMDet](models/cv/detection/rtmdet/pytorch)                         | PyTorch               | COCO    | 3.1.0     |
| [SSD](models/cv/detection/ssd/pytorch)                               | PyTorch               | COCO    | 2.2.0     |
| [SSD](models/cv/detection/ssd/paddlepaddle)                          | PaddlePaddle          | COCO    | 2.3.0     |
| [SSD](models/cv/detection/ssd/tensorflow)                            | TensorFlow            | VOC     | 3.0.0     |
| [SSD](models/cv/detection/ssd/mindspore)                             | MindSpore             | COCO    | 3.0.0     |
| [YOLOF](models/cv/detection/yolof/pytorch)                           | PyTorch               | COCO    | 2.2.0     |
| [YOLOv3](models/cv/detection/yolov3/pytorch)                         | PyTorch               | COCO    | 2.2.0     |
| [YOLOv3](models/cv/detection/yolov3/paddlepaddle)                    | PaddlePaddle          | COCO    | 2.3.0     |
| [YOLOv3](models/cv/detection/yolov3/tensorflow)                      | TensorFlow            | VOC     | 3.0.0     |
| [YOLOv5](models/cv/detection/yolov5/paddlepaddle)                    | PaddlePaddle          | COCO    | 3.1.1     |
| [YOLOv5](models/cv/detection/yolov5/pytorch)                         | PyTorch               | COCO    | 2.2.0     |
| [YOLOv6](models/cv/detection/yolov6/pytorch)                         | PyTorch               | COCO    | 3.0.0     |
| [YOLOv7](models/cv/detection/yolov7/pytorch)                         | PyTorch               | COCO    | 3.0.0     |
| [YOLOv8](models/cv/detection/yolov8/pytorch)                         | PyTorch               | COCO    | 3.0.0     |
| [YOLOv9](models/cv/detection/yolov9/pytorch)                         | PyTorch               | COCO    | 4.1.1     |
| [YOLOv10](models/cv/detection/yolov10/pytorch)                       | PyTorch               | COCO    | 4.1.1     |
| [YOLOv11](models/cv/detection/yolov11/pytorch)                       | PyTorch               | COCO    | 4.2.0     |

#### 三维目标检测

| Model                                                           | Framework | Dataset          | IXUCA SDK |
|-----------------------------------------------------------------|-----------|------------------|-----------|
| [BEVFormer](models/cv/3d_detection/bevformer/pytorch)           | PyTorch   | nuScenes&CAN bus | 3.0.0     |
| [CenterPoint](models/cv/3d_detection/centerpoint/pytorch)       | PyTorch   | nuScenes         | 3.1.1     |
| [PAConv](models/cv/3d_detection/paconv/pytorch)                 | PyTorch   | S3DIS            | 3.1.1     |
| [Part-A2-Anchor](models/cv/3d_detection/part_a2_anchor/pytorch) | PyTorch   | KITTI            | 4.1.1     |
| [Part-A2-Free](models/cv/3d_detection/part_a2_free/pytorch)     | PyTorch   | KITTI            | 4.1.1     |
| [PointNet++](models/cv/3d_detection/pointnet2/pytorch)          | PyTorch   | S3DIS            | 3.0.0     |
| [PointPillars](models/cv/3d_detection/pointpillars/pytorch)     | PyTorch   | KITTI            | 3.0.0     |
| [PointRCNN](models/cv/3d_detection/pointrcnn/pytorch)           | PyTorch   | KITTI            | 3.1.1     |
| [PointRCNN-IoU](models/cv/3d_detection/pointrcnn_iou/pytorch)   | PyTorch   | KITTI            | 4.1.1     |
| [SECOND](models/cv/3d_detection/second/pytorch)                 | PyTorch   | KITTI            | 4.1.1     |
| [SECOND-IoU](models/cv/3d_detection/second_iou/pytorch)         | PyTorch   | KITTI            | 4.1.1     |

#### 三维重建

| Model                                                    | Framework | Dataset | IXUCA SDK |
|----------------------------------------------------------|-----------|---------|-----------|
| [HashNeRF](models/cv/3d-reconstruction/hashnerf/pytorch) | PyTorch   | fox     | 2.2.0     |

#### 图神经网络（GNN）

| Model                                             | Framework    | Dataset                  | IXUCA SDK |
|---------------------------------------------------|--------------|--------------------------|-----------|
| [GAT](models/cv/gnn/gat/paddlepaddle)             | PaddlePaddle | CORA                     | 3.1.0     |
| [GCN](models/cv/gnn/GCN/mindspore)                | MindSpore    | CORA & Citeseer          | 3.0.0     |
| [GCN](models/cv/gnn/GCN/paddlepaddle)             | PaddlePaddle | CORA & PubMed & Citeseer | 3.1.0     |
| [GraphSAGE](models/cv/gnn/graphsage/paddlepaddle) | PaddlePaddle | Reddit                   | 3.1.0     |

#### 光学字符识别（OCR）

| Model                                                 | Framework    | Dataset   | IXUCA SDK |
|-------------------------------------------------------|--------------|-----------|-----------|
| [CRNN](models/cv/ocr/crnn/mindspore)                  | MindSpore    | OCR_Recog | 3.1.0     |
| [CRNN](models/cv/ocr/crnn/paddlepaddle)               | PaddlePaddle | LMDB      | 2.3.0     |
| [DBNet](models/cv/ocr/dbnet/pytorch)                  | PyTorch      | ICDAR2015 | 3.0.0     |
| [DBNet++](models/cv/ocr/dbnetpp/paddlepaddle)         | PaddlePaddle | ICDAR2015 | 3.1.1     |
| [DBNet++](models/cv/ocr/dbnetpp/pytorch)              | PyTorch      | ICDAR2015 | 3.1.0     |
| [PP-OCR-DB](models/cv/ocr/pp-ocr-db/paddlepaddle)     | PaddlePaddle | ICDAR2015 | 2.3.0     |
| [PP-OCR-EAST](models/cv/ocr/pp-ocr-east/paddlepaddle) | PaddlePaddle | ICDAR2015 | 3.1.1     |
| [PSE](models/cv/ocr/pse/paddlepaddle)                 | PaddlePaddle | OCR_Recog | 2.3.0     |
| [SAR](models/cv/ocr/sar/pytorch)                      | PyTorch      | OCR_Recog | 2.2.0     |
| [SAST](models/cv/ocr/sast/paddlepaddle)               | PaddlePaddle | ICDAR2015 | 3.1.1     |
| [SATRN](models/cv/ocr/satrn/pytorch/base)             | PyTorch      | OCR_Recog | 2.2.0     |

#### 点云

| Model                                                  | Framework | Dataset                         | IXUCA SDK |
|--------------------------------------------------------|-----------|---------------------------------|-----------|
| [Point-BERT](models/cv/point_cloud/point-bert/pytorch) | PyTorch   | ShapeNet55 & processed ModelNet | 2.2.0     |

#### 姿态估计

| Model                                          | Framework    | Dataset | IXUCA SDK |
|------------------------------------------------|--------------|---------|-----------|
| [AlphaPose](models/cv/pose/alphapose/pytorch)  | PyTorch      | COCO    | 3.0.0     |
| [HRNet](models/cv/pose/hrnet/pytorch)          | PyTorch      | COCO    | 2.2.0     |
| [HRNet-W32](models/cv/pose/hrnet/paddlepaddle) | PaddlePaddle | COCO    | 3.1.0     |
| [OpenPose](models/cv/pose/openpose/mindspore)  | MindSpore    | COCO    | 3.1.0     |

#### 自监督学习

| Model                                                 | Framework | Dataset  | IXUCA SDK |
|-------------------------------------------------------|-----------|----------|-----------|
| [MAE](models/cv/self_supervised_learning/mae/pytorch) | PyTorch   | ImageNet | 3.0.0     |

#### 语义分割

| Model                                                                       | Framework    | Dataset        | IXUCA SDK |
|-----------------------------------------------------------------------------|--------------|----------------|-----------|
| [3D-UNet](models/cv/semantic_segmentation/unet3d/pytorch)                   | PyTorch      | kits19         | 2.2.0     |
| [APCNet](models/cv/semantic_segmentation/apcnet/pytorch)                    | PyTorch      | Cityscapes     | 2.2.0     |
| [Attention U-net](models/cv/semantic_segmentation/att_unet/pytorch)         | PyTorch      | Cityscapes     | 3.0.0     |
| [BiSeNet](models/cv/semantic_segmentation/bisenet/pytorch)                  | PyTorch      | COCO           | 2.2.0     |
| [BiSeNetV2](models/cv/semantic_segmentation/bisenetv2/paddlepaddle)         | PaddlePaddle | Cityscapes     | 3.0.0     |
| [BiSeNetV2](models/cv/semantic_segmentation/bisenetv2/pytorch)              | PyTorch      | Cityscapes     | 3.1.1     |
| [CGNet](models/cv/semantic_segmentation/cgnet/pytorch)                      | PyTorch      | COCO           | 2.2.0     |
| [ContextNet](models/cv/semantic_segmentation/contextnet/pytorch)            | PyTorch      | COCO           | 2.2.0     |
| [DabNet](models/cv/semantic_segmentation/dabnet/pytorch)                    | PyTorch      | COCO           | 2.2.0     |
| [DANet](models/cv/semantic_segmentation/danet/pytorch)                      | PyTorch      | COCO           | 2.2.0     |
| [DDRnet](models/cv/semantic_segmentation/ddrnet/pytorch)                    | PyTorch      | Cityscapes     | 3.0.0     |
| [DeepLabV3](models/cv/semantic_segmentation/deeplabv3/pytorch)              | PyTorch      | COCO           | 2.2.0     |
| [DeepLabV3](models/cv/semantic_segmentation/deeplabv3/paddlepaddle)         | PaddlePaddle | Cityscapes     | 2.3.0     |
| [DeepLabV3](models/cv/semantic_segmentation/deeplabv3/mindspore)            | MindSpore    | VOC            | 3.0.0     |
| [DeepLabV3+](models/cv/semantic_segmentation/deeplabv3plus/paddlepaddle)    | PaddlePaddle | Cityscapes     | 3.0.0     |
| [DeepLabV3+](models/cv/semantic_segmentation/deeplabv3plus/tensorflow)      | TensorFlow   | Cityscapes     | 3.1.0     |
| [DenseASPP](models/cv/semantic_segmentation/denseaspp/pytorch)              | PyTorch      | COCO           | 2.2.0     |
| [DFANet](models/cv/semantic_segmentation/dfanet/pytorch)                    | PyTorch      | COCO           | 2.2.0     |
| [DNLNet](models/cv/semantic_segmentation/dnlnet/paddlepaddle)               | PaddlePaddle | Cityscapes     | 2.3.0     |
| [DUNet](models/cv/semantic_segmentation/dunet/pytorch)                      | PyTorch      | COCO           | 2.2.0     |
| [EncNet](models/cv/semantic_segmentation/encnet/pytorch)                    | PyTorch      | COCO           | 2.2.0     |
| [ENet](models/cv/semantic_segmentation/enet/pytorch)                        | PyTorch      | COCO           | 2.2.0     |
| [ERFNet](models/cv/semantic_segmentation/erfnet/pytorch)                    | PyTorch      | COCO           | 2.2.0     |
| [ESPNet](models/cv/semantic_segmentation/espnet/pytorch)                    | PyTorch      | COCO           | 2.2.0     |
| [FastFCN](models/cv/semantic_segmentation/fastfcn/paddlepaddle)             | PyTorch      | ADE20K         | 3.1.0     |
| [FastSCNN](models/cv/semantic_segmentation/fastscnn/pytorch)                | PyTorch      | COCO           | 2.2.0     |
| [FCN](models/cv/semantic_segmentation/fcn/pytorch)                          | PyTorch      | COCO           | 2.2.0     |
| [FPENet](models/cv/semantic_segmentation/fpenet/pytorch)                    | PyTorch      | COCO           | 2.2.0     |
| [GCNet](models/cv/semantic_segmentation/gcnet/pytorch)                      | PyTorch      | Cityscapes     | 2.2.0     |
| [HardNet](models/cv/semantic_segmentation/hardnet/pytorch)                  | PyTorch      | COCO           | 2.2.0     |
| [ICNet](models/cv/semantic_segmentation/icnet/pytorch)                      | PyTorch      | COCO           | 2.2.0     |
| [LedNet](models/cv/semantic_segmentation/lednet/pytorch)                    | PyTorch      | COCO           | 2.2.0     |
| [LinkNet](models/cv/semantic_segmentation/linknet/pytorch)                  | PyTorch      | COCO           | 2.2.0     |
| [Mask2Former](models/cv/semantic_segmentation/mask2former/pytorch)          | PyTorch      | Cityscapes     | 3.1.0     |
| [MobileSeg](models/cv/semantic_segmentation/mobileseg/paddlepaddle)         | PaddlePaddle | Cityscapes     | 3.1.0     |
| [OCNet](models/cv/semantic_segmentation/ocnet/pytorch)                      | PyTorch      | COCO           | 2.2.0     |
| [OCRNet](models/cv/semantic_segmentation/ocrnet/paddlepaddle)               | PaddlePaddle | Cityscapes     | 3.1.0     |
| [OCRNet](models/cv/semantic_segmentation/ocrnet/pytorch)                    | PyTorch      | Cityscapes     | 2.2.0     |
| [PP-HumanSegV1](models/cv/semantic_segmentation/pp_humansegv1/paddlepaddle) | PaddlePaddle | PP-HumanSeg14K | 3.1.0     |
| [PP-HumanSegV2](models/cv/semantic_segmentation/pp_humansegv2/paddlepaddle) | PaddlePaddle | PP-HumanSeg14K | 3.1.0     |
| [PP-LiteSeg](models/cv/semantic_segmentation/pp_liteseg/paddlepaddle)       | PaddlePaddle | Cityscapes     | 3.1.0     |
| [PSANet](models/cv/semantic_segmentation/psanet/pytorch)                    | PyTorch      | COCO           | 2.2.0     |
| [PSPNet](models/cv/semantic_segmentation/pspnet/pytorch)                    | PyTorch      | Cityscapes     | 2.2.0     |
| [RefineNet](models/cv/semantic_segmentation/refinenet/pytorch)              | PyTorch      | COCO           | 2.2.0     |
| [SegNet](models/cv/semantic_segmentation/segnet/pytorch)                    | PyTorch      | COCO           | 2.2.0     |
| [STDC](models/cv/semantic_segmentation/stdc/paddlepaddle)                   | PaddlePaddle | Cityscapes     | 3.1.0     |
| [STDC](models/cv/semantic_segmentation/stdc/pytorch)                        | PyTorch      | Cityscapes     | 3.0.0     |
| [UNet](models/cv/semantic_segmentation/unet/pytorch)                        | PyTorch      | COCO           | 2.2.0     |
| [UNet](models/cv/semantic_segmentation/unet/paddlepaddle)                   | PaddlePaddle | Cityscapes     | 2.3.0     |
| [UNet++](models/cv/semantic_segmentation/unet++/pytorch)                    | PyTorch      | DRIVE          | 3.0.0     |
| [VNet](models/cv/semantic_segmentation/vnet/tensorflow)                     | TensorFlow   | Hippocampus    | 3.0.0     |

#### 超分辨率

| Model                                                            | Framework | Dataset | IXUCA SDK |
|------------------------------------------------------------------|-----------|---------|-----------|
| [basicVSR++](models/cv/super_resolution/basicvsr++/pytorch)      | PyTorch   | REDS    | 2.2.0     |
| [basicVSR](models/cv/super_resolution/basicvsr/pytorch)          | PyTorch   | REDS    | 2.2.0     |
| [ESRGAN](models/cv/super_resolution/esrgan/pytorch)              | PyTorch   | DIV2K   | 2.2.0     |
| [LIIF](models/cv/super_resolution/liif/pytorch)                  | PyTorch   | DIV2K   | 2.2.0     |
| [RealBasicVSR](models/cv/super_resolution/real_basicvsr/pytorch) | PyTorch   | REDS    | 2.2.0     |
| [TTSR](models/cv/super_resolution/ttsr/pytorch)                  | PyTorch   | CUFED   | 2.2.0     |
| [TTVSR](models/cv/super_resolution/ttvsr/pytorch)                | PyTorch   | REDS    | 2.2.0     |

#### 多目标跟踪

| Model                                                               | Framework    | Dataset     | IXUCA SDK |
|---------------------------------------------------------------------|--------------|-------------|-----------|
| [ByteTrack](models/cv/multi_object_tracking/bytetrack/paddlepaddle) | PaddlePaddle | MOT17       | 3.1.0     |
| [DeepSORT](models/cv/multi_object_tracking/deep_sort/pytorch)       | PyTorch      | Market-1501 | 3.0.0     |
| [FairMOT](models/cv/multi_object_tracking/fairmot/pytorch)          | PyTorch      | MOT17       | 2.2.0     |

### 多模态

| Model                                                                                              | Framework | Dataset        | IXUCA SDK |
|----------------------------------------------------------------------------------------------------|-----------|----------------|-----------|
| [BLIP](models/multimodal/vision-language_model/blip/pytorch)                                       | PyTorch   | COCO           | 3.1.1     |
| [CLIP](models/multimodal/contrastive_learning/clip/pytorch)                                        | PyTorch   | CIFAR100       | 2.2.0     |
| [ControlNet](models/multimodal/diffusion_model/controlnet/pytorch)                                 | PyTorch   | Fill50K        | 3.1.0     |
| [DDPM](models/multimodal/diffusion_model/ddpm/pytorch)                                             | PyTorch   | CIFAR-10       | 3.1.0     |
| [LLaVA 1.5](models/multimodal/vision-language_model/llava-1.5/pytorch)                             | PyTorch   | LLaVA-Pretrain | 4.1.1     |
| [L-Verse](models/multimodal/vision-language_model/l-verse/pytorch)                                 | PyTorch   | ImageNet       | 2.2.0     |
| [MoE-LLaVA-Phi2-2.7B](models/multimodal/vision-language_model/moe-llava-phi2-2.7b/pytorch)         | PyTorch   | MoE-LLaVA      | 4.2.0     |
| [MoE-LLaVA-Qwen-1.8B](models/multimodal/vision-language_model/moe-llava-qwen-1.8b/pytorch)         | PyTorch   | MoE-LLaVA      | 4.2.0     |
| [MoE-LLaVA-StableLM-1.6B](models/multimodal/vision-language_model/moe-llava-stablelm-1.6b/pytorch) | PyTorch   | MoE-LLaVA      | 4.2.0     |
| [Qwen2.5-VL-7B](models/multimodal/vision-language_model/qwen2.5-vl-7b/verl)                        | verl      | geo3k          | 4.3.0     |
| [Qwen2.5-VL-7B DPO](models/multimodal/vision-language_model/qwen2.5-vl-7b/llamafactory)            | LLaMA-Factory | rlhf_v     | 4.3.0     |
| [Qwen2.5-VL-7B SFT](models/multimodal/vision-language_model/qwen2.5-vl-7b/llamafactory)            | LLaMA-Factory | mllm_demo  | 4.3.0     |
| [Qwen3-VL-4B Full SFT](models/multimodal/vision-language_model/qwen3-vl-4b/llamafactory)           | LLaMA-Factory | mllm_demo  | 4.4.0     |
| [Qwen3-VL-4B SFT](models/multimodal/vision-language_model/qwen3-vl-4b/llamafactory)                | LLaMA-Factory | mllm_demo  | 4.4.0     |
| [Qwen3-VL-4B DPO](models/multimodal/vision-language_model/qwen3-vl-4b/llamafactory)                | LLaMA-Factory | rlhf_v     | 4.4.0     |
| [Stable Diffusion 1.4](models/multimodal/diffusion_model/stable-diffusion-1.4/pytorch)             | PyTorch   | pokemon-images | 3.0.0     |
| [Stable Diffusion 1.5](models/multimodal/diffusion_model/stable-diffusion-1.5/pytorch)             | PyTorch   | pokemon-images | 4.1.1     |
| [Stable Diffusion 2.1](models/multimodal/diffusion_model/stable-diffusion-2.1/pytorch)             | PyTorch   | pokemon-images | 4.1.1     |
| [Stable Diffusion 3](models/multimodal/diffusion_model/stable-diffusion-3/pytorch)                 | PyTorch   | dog-example    | 4.1.1     |
| [Stable Diffusion XL](models/multimodal/diffusion_model/stable-diffusion-xl/pytorch)               | PyTorch   | pokemon-images | 4.1.1     |

### 自然语言处理（NLP）

#### 完形填空

| Model                                    | Framework | Dataset               | IXUCA SDK |
|------------------------------------------|-----------|-----------------------|-----------|
| [GLM](models/nlp/cloze_test/glm/pytorch) | PyTorch   | GLMForMultiTokenCloze | 2.2.0     |

#### 对话生成

| Model                                             | Framework | Dataset | IXUCA SDK |
|---------------------------------------------------|-----------|---------|-----------|
| [CPM](models/nlp/dialogue_generation/cpm/pytorch) | PyTorch   | STC     | 2.2.0     |

#### 语言建模

| Model                                                                   | Framework         | Dataset            | IXUCA SDK |
|-------------------------------------------------------------------------|-------------------|--------------------|-----------|
| [BART](models/nlp/language_model/bart_fairseq/pytorch)                  | PyTorch (Fairseq) | RTE                | 3.0.0     |
| [BERT NER](models/nlp/ner/bert/pytorch)                                 | PyTorch           | CoNLL-2003         | 3.0.0     |
| [BERT Pretraining](models/nlp/language_model/bert_sample/pytorch)       | PyTorch           | bert_mini          | 4.3.0     |
| [BERT Pretraining](models/nlp/language_model/bert/pytorch)              | PyTorch           | MLCommon Wikipedia | 2.2.0     |
| [BERT Pretraining](models/nlp/language_model/bert/paddlepaddle)         | PaddlePaddle      | MNLI               | 2.3.0     |
| [BERT Pretraining](models/nlp/language_model/bert/tensorflow)           | TensorFlow        | MNLI               | 3.0.0     |
| [BERT Pretraining](models/nlp/language_model/bert/mindspore)            | MindSpore         | SQuAD              | 3.0.0     |
| [BERT Text Classification](models/nlp/text_classification/bert/pytorch) | PyTorch           | GLUE               | 3.0.0     |
| [BERT Text Summerization](models/nlp/text_summarisation/bert/pytorch)   | PyTorch           | cnn_dailymail      | 3.0.0     |
| [BERT Question Answering](models/nlp/question_answering/bert/pytorch)   | PyTorch           | SQuAD              | 3.0.0     |
| [GPT2-Medium-EN](models/nlp/llm/gpt2-medium-en/paddlepaddle)            | PaddlePaddle      | SST-2              | 3.1.0     |
| [RoBERTa](models/nlp/language_model/roberta_fairseq/pytorch)            | PyTorch (Fairseq) | RTE                | 3.0.0     |
| [XLNet](models/nlp/language_model/xlnet/paddlepaddle)                   | PaddlePaddle      | SST-2              | 3.1.0     |

#### 文本纠错

| Model                                                  | Framework    | Dataset | IXUCA SDK |
|--------------------------------------------------------|--------------|---------|-----------|
| [ERNIE](models/nlp/text_correction/ernie/paddlepaddle) | PaddlePaddle | corpus  | 2.3.0     |

#### 翻译

| Model                                                                 | Framework         | Dataset | IXUCA SDK |
|-----------------------------------------------------------------------|-------------------|---------|-----------|
| [Convolutional](models/nlp/translation/convolutional_fairseq/pytorch) | PyTorch (Fairseq) | WMT14   | 3.0.0     |
| [T5](models/nlp/translation/t5/pytorch)                               | PyTorch           | WMT14   | 2.2.0     |
| [Transformer](models/nlp/translation/transformer/paddlepaddle)        | PaddlePaddle      | WMT14   | 2.3.0     |
| [Transformer](models/nlp/translation/transformer_fairseq/pytorch)     | PyTorch (Fairseq) | IWSLT14 | 3.0.0     |

### 强化学习

| Model                                                                     | Framework    | Dataset     | IXUCA SDK |
|---------------------------------------------------------------------------|--------------|-------------|-----------|
| [DQN](models/reinforcement_learning/q-learning-networks/dqn/paddlepaddle) | PaddlePaddle | CartPole-v0 | 3.1.0     |

### 语音

#### 语音识别

| Model                                                                                          | Framework       | Dataset     | IXUCA SDK |
|------------------------------------------------------------------------------------------------|-----------------|-------------|-----------|
| [Conformer](models/audio/speech_recognition/conformer_wenet/pytorch)                           | PyTorch (WeNet) | AISHELL     | 2.2.0     |
| [Conformer](models/audio/speech_recognition/conformer/pytorch)                                 | PyTorch         | LibriSpeech | 4.3.0     |
| [Efficient Conformer v2](models/audio/speech_recognition/efficient_conformer_v2_wenet/pytorch) | PyTorch (WeNet) | AISHELL     | 3.1.0     |
| [PP-ASR-Conformer](models/audio/speech_recognition/conformer/paddlepaddle)                     | PaddlePaddle    | AISHELL     | 3.1.0     |
| [RNN-T](models/audio/speech_recognition/rnnt/pytorch)                                          | PyTorch         | LJSpeech    | 2.2.0     |
| [Transformer](models/audio/speech_recognition/transformer_wenet/pytorch)                       | PyTorch (WeNet) | AISHELL     | 3.0.0     |
| [U2++ Conformer](models/audio/speech_recognition/u2++_conformer_wenet/pytorch)                 | PyTorch (WeNet) | AISHELL     | 3.0.0     |
| [Unified Conformer](models/audio/speech_recognition/unified_conformer_wenet/pytorch)           | PyTorch (WeNet) | AISHELL     | 3.0.0     |

#### 语音合成

| Model                                                                        | Framework    | Dataset     | IXUCA SDK |
|------------------------------------------------------------------------------|--------------|-------------|-----------|
| [CosyVoice2-0.5B](models/audio/speech_synthesis/cosyvoice/pytorch)           | DeepSpeed    | openslr     | 4.3.0     |
| [PP-TTS-FastSpeech2](models/audio/speech_synthesis/fastspeech2/paddlepaddle) | PaddlePaddle | CSMSC       | 3.1.0     |
| [PP-TTS-HiFiGAN](models/audio/speech_synthesis/hifigan/paddlepaddle)         | PaddlePaddle | CSMSC       | 3.1.0     |
| [Tacotron2](models/audio/speech_synthesis/tacotron2/pytorch)                 | PyTorch      | LJSpeech    | 2.2.0     |
| [VQMIVC](models/audio/speech_synthesis/vqmivc/pytorch)                       | PyTorch      | VCTK-Corpus | 2.2.0     |
| [WaveGlow](models/audio/speech_synthesis/waveglow/pytorch)                   | PyTorch      | LJSpeech    | 2.2.0     |

### 其他

#### 图机器学习

| Model                                                                       | Framework | Dataset            | IXUCA SDK |
|-----------------------------------------------------------------------------|-----------|--------------------|-----------|
| [Graph WaveNet](models/others/graph_machine_learning/graph_wavenet/pytorch) | PyTorch   | METR-LA & PEMS-BAY | 2.2.0     |

#### 柯尔莫哥洛夫-阿诺德网络（KAN）

| Model                                                       | Framework | Dataset | IXUCA SDK |
|-------------------------------------------------------------|-----------|---------|-----------|
| [KAN](models/others/kolmogorov_arnold_networks/kan/pytorch) | PyTorch   | -       | 4.1.1     |

#### 模型剪枝

| Model                                                                    | Framework | Dataset      | IXUCA SDK |
|--------------------------------------------------------------------------|-----------|--------------|-----------|
| [Network Slimming](models/others/model_pruning/network-slimming/pytorch) | PyTorch   | CIFAR-10/100 | 3.0.0     |

#### 推荐系统

| Model                                                                    | Framework    | Dataset         | IXUCA SDK |
|--------------------------------------------------------------------------|--------------|-----------------|-----------|
| [DeepFM](models/others/recommendation_systems/deepfm/paddlepaddle)       | PaddlePaddle | Criteo_Terabyte | 2.3.0     |
| [DLRM](models/others/recommendation_systems/dlrm/pytorch)                | PyTorch      | Criteo_Terabyte | 2.2.0     |
| [DLRM](models/others/recommendation_systems/dlrm/paddlepaddle)           | PaddlePaddle | Criteo_Terabyte | 3.1.0     |
| [FFM](models/others/recommendation_systems/ffm/paddlepaddle)             | PaddlePaddle | Criteo_Terabyte | 3.1.0     |
| [NCF](models/others/recommendation_systems/ncf/pytorch)                  | PyTorch      | movielens       | 2.2.0     |
| [Wide&Deep](models/others/recommendation_systems/wide_deep/paddlepaddle) | PaddlePaddle | Criteo_Terabyte | 2.3.0     |
| [xDeepFM](models/others/recommendation_systems/xdeepfm/paddlepaddle)     | PaddlePaddle | Criteo_Terabyte | 3.1.0     |

--------

## 社区

### 治理

请参见 DeepSpark Code of Conduct on [Gitee](https://gitee.com/deep-spark/deepspark/blob/master/CODE_OF_CONDUCT.md) or on
[GitHub](https://github.com/Deep-Spark/deepspark/blob/main/CODE_OF_CONDUCT.md)。

### 交流

请联系 <developers@iluvatar.com>。

### 贡献

请参见 [DeepSparkHub Contributing Guidelines](CONTRIBUTING.md)。

### 免责声明

DeepSparkHub 仅提供公共数据集的下载和预处理脚本。这些数据集不属于 DeepSparkHub，DeepSparkHub 也不对其质量或维护负责。请确保
您具有这些数据集的使用许可，基于这些数据集训练的模型仅可用于非商业研究和教育。

致数据集所有者：

如果不希望您的数据集公布在 DeepSparkHub 上或希望更新 DeepSparkHub 中属于您的数据集，请在 Gitee 或 Github 上提交 issue，我们将按您
的 issue 删除或更新。衷心感谢您对我们社区的支持和贡献。

## 许可证

本项目许可证遵循 [Apache-2.0](LICENSE)。

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