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model-zoo

★ 67 Open GitHub ↗

Implementations of various Deep Learning models in PyTorch and TensorFlow.

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# Model Zoo

This repository contains implementations of various deep learning research papers.

The models are broadly categorised into the folders [Generative](/generative_models) (e.g. various generative models), [NLP](/NLP) (e.g. various recurrent neural networks (RNNs) and natural language processing (NLP) models), [Classification](/classification) (e.g. various CNN models to classify images), [Object Detection](/object_detection), [Multimodal](/multimodal_models) , [Super resolution](/super_resolution) , [3D Computer Vision](/vision3d),
 [Semantic Segmentation](/semantic_segmentation).
 See the READMEs of respective models for more information.

## Model Listing

* Generative models
  * AAE [PyTorch](generative_models/AAE_PyTorch)
  * ACGAN [PyTorch](generative_models/ACGAN_PyTorch)
  * CycleGAN [PyTorch](generative_models/CycleGAN_PyTorch)
  * DCGAN [TensorFlow](generative_models/DCGAN_TensorFlow) [PyTorch](generative_models/DCGAN_PyTorch)
  * DiscoGAN [PyTorch](generative_models/DiscoGAN_PyTorch)
  * InfoGAN [TensorFlow](generative_models/InfoGAN_TensorFlow) [PyTorch](generative_models/InfoGAN_PyTorch)
  * MoCoGAN [PyTorch](generative_models/MoCoGAN_PyTorch)
  * StarGAN [PyTorch](generative_models/StarGAN_PyTorch)
  * VAEGAN [PyTorch](generative_models/VAEGAN_PyTorch)
  * VanillaGAN [TensorFlow](generative_models/VanillaGAN_TensorFlow) [PyTorch](generative_models/VanillaGAN_PyTorch)
  * WGAN [TensorFlow](generative_models/WGAN_TensorFlow)
  * cGAN [TensorFlow](generative_models/cGAN_TensorFlow) [PyTorch](generative_models/cGAN_PyTorch)
  * SS-GAN [TensorFlow](generative_models/SS-GAN_TensorFlow)
* NLP
  * BERT [TensorFlow](NLP/BERT_TensorFlow) [PyTorch](nlp/BERT_PyTorch)
  * BI-LSTM_CRF [TensorFlow](nlp/BI-LSTM_CRF_TensorFlow)
  * GloVe [TensorFlow](nlp/GloVe_TensorFlow) [PyTorch](nlp/GloVe_PyTorch)
  * Transformer [TensorFlow](nlp/Transformer_TensorFlow)
  * Word2Vec [PyTorch](nlp/Word2Vec_PyTorch)
* classification
  * ResNet [PyTorch](classification/ResNet_PyTorch)
  * ResNet56 [Tensorflow](classification/ResNet56-Tensorflow)
  * T3D ConvNets [TensorFlow](classification/T3D_TensorFlow)
  * Inception_V1 [PyTorch](classification/Inception-V1_PyTorch)   [Tensorflow](classification/Inception-v1_Tensorflow)
  * Inception_V3 [PyTorch](classification/Inception-V3_PyTorch)
  * Xception [Tensorflow](classification/Xception_TF)
  * MLP_Mixer [PyTorch](classification/MLP-Mixer_PyTorch) [Tensorflow](classification/MLP-Mixer_TensorFlow)
  * MobileNet_V1 [Tensorflow](classification/MobileNet_v1_TF)
  * I3D [Tensorflow](classification/I3D_TF)
  * RepVGG [Tensorflow](classification/RepVGG_TensorFlow) [PyTorch](classification/REPVGG_Pytorch)
* Multimodal models
  * StackGAN [PyTorch](multimodal_models/StackGAN_PyTorch)
  * VQA [TensorFlow](multimodal_models/VQA_TensorFlow)
  * WaveGAN [TensorFlow](multimodal_models/WaveGAN_TensorFlow)
  * ImageCaption [TensorFlow](multimodal_models/ImageCaption_TensorFlow) [PyTorch](multimodal_models/ImageCaption_PyTorch) 
  * Show and Tell [PyTorch](multimodal_models/ShowAndTell_PyTorch) [Tensorflow](multimodal_models/ShowAndTellTensorflow)
  * StackGAN_V1 [Tensorflow](multimodal_models/StackGAN-v1_Tensorflow)
  * StackGAN_V2 [PyTorch](multimodal_models/StackGAN_V2_PyTorch)
* Semantic Segmentation
  * UNet [Pytorch](semantic_segmentation/UNet_Pytorch)
  * UNet++ [Pytorch](semantic_segmentation/UNet++_Pytorch)
* Object detection
  * YOLOv2 [TensorFlow](object_detection/YOLOv2_TensorFlow)
  * YOLOv3 [TensorFlow](object_detection/YOLOv3_TensorFlow)
  * YOLOv1 [Tensorflow](object_detection/YOLOv1_TensorFlow)
  * Faster_RCNN [Tensorflow](object_detection/Faster_RCNN_Tensorflow)
  * SSD [Tensorflow](object_detection/SSD300_VGG16_TensorFlow)
* Super resolution
  * ContextEncoder [TensorFlow](super_resolution/ContextEncoder_TensorFlow) [PyTorch](super_resolution/ContextEncoder_PyTorch)
  * SRGAN [TensorFlow](super_resolution/SRGAN_TensorFlow) [PyTorch](super_resolution/SRGAN_PyTorch)
  * SRCNN [TensorFlow](super_resolution/SRCNN_TensorFlow)
  * VDSR [PyTorch](super_resolution/VDSR_PyTorch)
  * Perceptual Loss for real-time Style Transfer and Super Resolution [PyTorch](super_resolution/Perceptual_Losses_For_Style_Transfer_And_Super_Resolution_PyTorch)
* 3D Computer Vision
  * 3DGAN [PyTorch](vision3d/3DGAN_PyTorch)

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