Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Transformers | 129,496 | 64 | 2,484 | 2 months ago | 125 | November 15, 2023 | 946 | apache-2.0 | Python | |
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. | ||||||||||
Made With Ml | 37,014 | 20 days ago | 5 | May 15, 2019 | 6 | mit | Jupyter Notebook | |||
Learn how to design, develop, deploy and iterate on production-grade ML applications. | ||||||||||
D2l En | 21,912 | 4 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. | ||||||||||
Best Of Ml Python | 14,990 | 8 months ago | 21 | cc-by-sa-4.0 | ||||||
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. | ||||||||||
Awesome Pytorch List | 14,715 | 8 months ago | 4 | |||||||
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc. | ||||||||||
Dive Into Dl Pytorch | 13,747 | 3 years ago | 76 | apache-2.0 | Jupyter Notebook | |||||
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。 | ||||||||||
Flair | 13,721 | 24 | 69 | 2 months ago | 31 | October 28, 2023 | 65 | other | Python | |
A very simple framework for state-of-the-art Natural Language Processing (NLP) | ||||||||||
Fingpt | 13,467 | 2 months ago | 2 | October 20, 2023 | 57 | mit | Jupyter Notebook | |||
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace. | ||||||||||
Nlp Tutorial | 13,226 | 9 months ago | 35 | mit | Jupyter Notebook | |||||
Natural Language Processing Tutorial for Deep Learning Researchers | ||||||||||
Haystack | 12,474 | 30 | 7 months ago | 100 | November 09, 2023 | 346 | apache-2.0 | Python | ||
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots. |