Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Keras | 61,613 | 697 | 25 days ago | 87 | December 06, 2023 | 183 | apache-2.0 | Python | ||
Deep Learning for humans | ||||||||||
Made With Ml | 37,111 | 2 months ago | 5 | May 15, 2019 | 6 | mit | Jupyter Notebook | |||
Learn how to design, develop, deploy and iterate on production-grade ML applications. | ||||||||||
Streamlit | 29,794 | 17 | 1,228 | 9 months ago | 212 | November 30, 2023 | 712 | apache-2.0 | Python | |
Streamlit — A faster way to build and share data apps. | ||||||||||
Ray | 29,596 | 80 | 363 | 9 months ago | 95 | December 04, 2023 | 3,528 | apache-2.0 | Python | |
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. | ||||||||||
Spacy | 28,628 | 1,533 | 1,367 | 6 months ago | 226 | October 16, 2023 | 103 | mit | Python | |
💫 Industrial-strength Natural Language Processing (NLP) in Python | ||||||||||
Pytorch Lightning | 28,130 | 3 days ago | 713 | apache-2.0 | Python | |||||
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes. | ||||||||||
Ai Expert Roadmap | 27,583 | 9 months ago | 17 | mit | JavaScript | |||||
Roadmap to becoming an Artificial Intelligence Expert in 2022 | ||||||||||
Gradio | 25,823 | 1 | 229 | 9 months ago | 534 | December 05, 2023 | 452 | apache-2.0 | Python | |
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work! | ||||||||||
Data Science Ipython Notebooks | 25,668 | a year 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. | ||||||||||
Applied Ml | 24,828 | a year ago | 3 | mit | ||||||
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production. |