torecsys
ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.
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최종 버전 다운로드 (.zip)- pytorch-logo-dark.svg
- pytorch-logo-flame.ico
- pytorch-logo-flame.svg
- conf.py
- index.rst
- modules.rst
- torecsys.data.dataloader.fields.rst
- torecsys.data.dataloader.rst
- torecsys.data.dataset.rst
- torecsys.data.negsampling.rst
- torecsys.data.rst
- torecsys.data.sampledata.rst
- torecsys.data.subsampling.rst
- torecsys.estimators.ctr.rst
- torecsys.estimators.emb.rst
- torecsys.estimators.ltr.rst
- torecsys.estimators.rst
- torecsys.functional.rst
- torecsys.inputs.base.rst
- torecsys.inputs.rst
- torecsys.layers.ctr.rst
- torecsys.layers.emb.rst
- torecsys.layers.ltr.rst
- torecsys.layers.rst
- torecsys.losses.ctr.rst
- torecsys.losses.emb.rst
- torecsys.losses.ltr.rst
- torecsys.losses.rst
- torecsys.metrics.rst
- torecsys.models.ctr.rst
- torecsys.models.emb.rst
- torecsys.models.ltr.rst
- torecsys.models.rst
- torecsys.rst
- torecsys.utils.decorator.rst
- torecsys.utils.logging.rst
- torecsys.utils.rst
- torecsys.utils.training.rst
- torecsys.utils.utils.rst
- make.bat
- Makefile
- requirements.txt
- Example-0-Training-a-Matrix-Factorization-in-torecsys.ipynb
- Example-1-Training-a-Bayesian-Persoanlized-Ranking-Matrix-Factorization-in-torecsys.ipynb
- Example-2-Trainer-of-Field-aware-Factorization-Machine.ipynb
- (dev) ctr_classification.py
- (dev) ctr_ranking.py
- (dev) listwise_ranking.py
- (dev) starspace_embedding.py
- README.md
- __init__.py
- test_dataloader.py
- test_dataset.py
- test_estimators.py
- test_inputs.py
- test_layers.py
- test_losses.py
- test_metrics.py
- test_miners.py
- test_models.py
- test_sampledata.py
- test_sampling.py
- test_subsampling.py
- test_trainer.py
- __init__.py
- __init__.py
- index_field.py
- sentence_field.py
- __init__.py
- collate_fn.py
- __init__.py
- dataset.py
- __init__.py
- download_data.py
- load_data.py
- __init__.py
- sub_sampling.py
- __init__.py
- concat_inputs.py
- image_inp.py
- list_indices_emb.py
- multi_indices_emb.py
- multi_indices_field_aware_emb.py
- pretrained_image_inp.py
- sequence_indices_emb.py
- single_index_emb.py
- stacked_inp.py
- value_inp.py
- __init__.py
- inputs.py
- __init__.py
- attentional_factorization_machine.py
- bias_encoding.py
- bilinear.py
- bilinear_interaction.py
- compose_excitation_network.py
- compress_interaction_network.py
- cross_network.py
- dynamic_routing.py
- factorization_machine.py
- field_aware_factorization_machine.py
- inner_product_network.py
- mixture_of_experts.py
- multilayer_perceptron.py
- outer_product_network.py
- position_embedding.py
- positon_bias_aware_learning_framework.py
- wide.py
- __init__.py
- generalized_matrix_factorization.py
- starspace.py
- __init__.py
- __init__.py
- regularization.py
- __init__.py
- functional.py
- skipgram.py
- __init__.py
- functional.py
- groupwise_ranking_loss.py
- pairwise_ranking_loss.py
- pointwise_ranking_loss.py
- __init__.py
- __init__.py
- accuracy.py
- functional.py
- novelty.py
- __init__.py
- uniform_batch_miner.py
- __init__.py
- attentional_factorization_machine.py
- deep_and_cross_network.py
- deep_ffm.py
- deep_fm.py
- deep_mcp.py
- deep_moe.py
- deep_session_interest_network.py
- elaborated_entire_space_supervised_multi_task.py
- entire_space_multi_task.py
- factorization_machine.py
- factorization_machine_supported_neural_network.py
- fat_deep_ffm.py
- feature_importance_and_bilinear_feature_interaction_network.py
- field_aware_factorization_machine.py
- logistic_regression.py
- multigate_moe.py
- neural_collaborative_filtering.py
- neural_factorization_machine.py
- position_bias_aware_learning_framework.py
- product_neural_network.py
- wide_and_deep.py
- xdeep_fm.py
- __init__.py
- matrix_factorization.py
- starspace.py
- __init__.py
- learning_to_rank_wrapper.py
- personalized_reranking.py
- __init__.py
- sequential.py
- __init__.py
- model_validation.py
- __init__.py
- torecsys_pipeline.py
- torecsys_trainer.py
- __init__.py
- decorator.py
- logging.py
- operations.py
- typing_extensions.py
- __init__.py
- .gitignore
- .readthedocs.yaml
- LICENSE
- MANIFEST.in
- pyproject.toml
- README.md
- requirements.txt
- setup.cfg
- setup.py
- TODO.md
// repository documentation
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