🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Best Practices on Recommendation Systems

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search…

Ongoing research training transformer models at scale

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

End-to-End Speech Processing Toolkit

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

《Pytorch模型训练实用教程》中配套代码

Natural Language Processing Best Practices & Examples

Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESM…

Implementation and experiments of graph embedding algorithms.

Models, data loaders and abstractions for language processing, powered by PyTorch

Classic papers and resources on recommendation

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

DeepWalk - Deep Learning for Graphs

A Deep Learning Recommender System

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

Deep learning for recommender systems

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

Open-Source Information Retrieval Courses @ TU Wien

“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.

练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等

An open-source framework for self-supervised recommender systems.

A repository of concepts related to neural networks for NLP