Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Transformers | 132,385 | 64 | 2,484 | 23 days ago | 125 | November 15, 2023 | 946 | apache-2.0 | Python | |
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. | ||||||||||
Bert | 36,099 | 13 | 10 | a year ago | 5 | August 11, 2020 | 878 | apache-2.0 | Python | |
TensorFlow code and pre-trained models for BERT | ||||||||||
D2l En | 21,912 | 5 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 | 9 months ago | 21 | cc-by-sa-4.0 | ||||||
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. | ||||||||||
Virgilio | 13,515 | 2 years ago | 20 | other | Jupyter Notebook | |||||
Your new Mentor for Data Science E-Learning. | ||||||||||
Nlp Tutorial | 13,226 | a year ago | 35 | mit | Jupyter Notebook | |||||
Natural Language Processing Tutorial for Deep Learning Researchers | ||||||||||
Deeplearningexamples | 12,073 | 9 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. | ||||||||||
Stanford Tensorflow Tutorials | 10,309 | 4 years ago | 88 | mit | Python | |||||
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research. | ||||||||||
Chinese Bert Wwm | 8,600 | a year ago | 3 | apache-2.0 | Python | |||||
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型) | ||||||||||
It_book | 8,543 | 3 years ago | 7 | |||||||
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍,没准你想找的书就在这里呢,包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列(常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习,深度学习等等),大数据系列(Spark,Hadoop,Scala,kafka等),程序员必修系列(C、C++、java、数据结构、linux,设计模式、数据库等等) |