Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Keras | 60,982 | 697 | 6 days ago | 87 | December 06, 2023 | 183 | apache-2.0 | Python | ||
Deep Learning for humans | ||||||||||
Spacy | 28,628 | 1,533 | 1,367 | a month ago | 226 | October 16, 2023 | 103 | mit | Python | |
💫 Industrial-strength Natural Language Processing (NLP) in Python | ||||||||||
Ai Expert Roadmap | 27,583 | 4 months ago | 17 | mit | JavaScript | |||||
Roadmap to becoming an Artificial Intelligence Expert in 2022 | ||||||||||
Data Science Ipython Notebooks | 25,668 | 7 months ago | 34 | other | Python | |||||
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. | ||||||||||
Gensim | 15,180 | 2,371 | 766 | a month ago | 93 | August 24, 2023 | 405 | lgpl-2.1 | Python | |
Topic Modelling for Humans | ||||||||||
Awesome Pytorch List | 14,715 | 4 months ago | 4 | |||||||
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc. | ||||||||||
Nni | 13,725 | 8 | 27 | 2 months ago | 55 | September 14, 2023 | 342 | mit | Python | |
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. | ||||||||||
Python Machine Learning Book | 11,645 | 2 years ago | 11 | mit | Jupyter Notebook | |||||
The "Python Machine Learning (1st edition)" book code repository and info resource | ||||||||||
Ludwig | 10,830 | 6 | 3 | 8 days ago | 47 | October 13, 2023 | 340 | apache-2.0 | Python | |
Low-code framework for building custom LLMs, neural networks, and other AI models | ||||||||||
Mit Deep Learning | 9,897 | 4 months ago | 16 | mit | Jupyter Notebook | |||||
Tutorials, assignments, and competitions for MIT Deep Learning related courses. |