Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Ray | 29,596 | 80 | 363 | 3 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. | ||||||||||
Best Of Ml Python | 14,990 | 4 months ago | 21 | cc-by-sa-4.0 | ||||||
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. | ||||||||||
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. | ||||||||||
Autokeras | 9,067 | 7 | 5 | a month ago | 58 | January 28, 2023 | 132 | apache-2.0 | Python | |
AutoML library for deep learning | ||||||||||
Zenml | 3,626 | 2 | 24 days ago | 116 | November 28, 2023 | 58 | apache-2.0 | Python | ||
ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io. | ||||||||||
Adanet | 3,309 | 2 | 1 | 3 years ago | 13 | July 09, 2020 | 66 | apache-2.0 | Jupyter Notebook | |
Fast and flexible AutoML with learning guarantees. | ||||||||||
Keras Tuner | 2,795 | 2 | 60 | 4 months ago | 34 | November 07, 2023 | 203 | apache-2.0 | Python | |
A Hyperparameter Tuning Library for Keras | ||||||||||
Machine Learning | 2,260 | 5 months ago | 7 | Jupyter Notebook | ||||||
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study) | ||||||||||
Sparseml | 1,910 | 5 | 3 months ago | 37 | December 04, 2023 | 60 | apache-2.0 | Python | ||
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models | ||||||||||
Automl Gs | 1,642 | 5 years ago | 2 | April 05, 2019 | 25 | mit | Python | |||
Provide an input CSV and a target field to predict, generate a model + code to run it. |