Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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• Updated Nov 12, 2026
• 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.

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• Updated Aug 18, 2024
• Python

A hyperparameter optimization framework

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• Updated Nov 12, 2026
• Python

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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• Updated Jul 3, 2024
• Python

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

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• Updated Nov 11, 2026
• Python

Fast and Accurate ML in 3 Lines of Code

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• Updated Nov 11, 2026
• Python

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

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• Updated Sep 11, 2025
• Jupyter Notebook

Automated Machine Learning with scikit-learn

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• Updated Sep 15, 2026
• Python

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

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• Updated Nov 11, 2026
• Jupyter Notebook

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network…

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• Updated Jun 10, 2026
• Jupyter Notebook

A curated list of automated machine learning papers, articles, tutorials, slides and projects

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• Updated Jun 11, 2024

AI Infra / AI Orchestration / AI Control Plane

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• Updated Nov 12, 2026
• MDX

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

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• Updated Nov 5, 2026
• Python

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

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• Updated Mar 20, 2025
• Go

A Hyperparameter Tuning Library for Keras

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• Updated Dec 1, 2025
• Python

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

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• Updated Oct 27, 2026
• Python

Sequential model-based optimization with a `scipy.optimize` interface

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• Updated Feb 23, 2024
• Python

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

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• Updated Jan 5, 2023
• Python

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

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• Updated Nov 11, 2026
• Python

[UNMAINTAINED] Automated machine learning for analytics & production

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• Updated Feb 10, 2021
• Python