Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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D2l En | 20,613 | 3 months ago | 2 | November 13, 2022 | 115 | other | Python | |||
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge. | ||||||||||
Deeplearningexamples | 12,073 | 3 months ago | 295 | Jupyter Notebook | ||||||
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure. | ||||||||||
Catalyst | 3,151 | 19 | 19 | 9 months ago | 108 | April 29, 2022 | 6 | apache-2.0 | Python | |
Accelerated deep learning R&D | ||||||||||
Recbole | 3,038 | 2 | 3 months ago | 10 | October 31, 2023 | 213 | mit | Python | ||
A unified, comprehensive and efficient recommendation library | ||||||||||
Spotlight | 2,809 | a year ago | 72 | mit | Python | |||||
Deep recommender models using PyTorch. | ||||||||||
Torchrec | 1,639 | 1 | 3 months ago | 352 | August 20, 2023 | 184 | bsd-3-clause | Python | ||
Pytorch domain library for recommendation systems | ||||||||||
Transformers4rec | 974 | 3 months ago | 20 | August 29, 2023 | 79 | apache-2.0 | Python | |||
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch. | ||||||||||
Fuxictr | 715 | 3 months ago | 4 | apache-2.0 | Python | |||||
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io | ||||||||||
Daisyrec | 496 | a year ago | 16 | August 14, 2022 | mit | Python | ||||
This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" and of several follow-up studies. | ||||||||||
Crslab | 397 | a year ago | 2 | March 28, 2021 | 6 | mit | Python | |||
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS). |