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

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

Automated Machine Learning with scikit-learn

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• Updated Sep 15, 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 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

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

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• Updated Nov 12, 2026
• Python

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

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• Updated Oct 17, 2022
• Python

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

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• Updated Jun 21, 2026
• Python

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps enviro…

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• Updated Feb 20, 2026
• Python

Library for Semi-Automated Data Science

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• Updated Sep 29, 2026
• Python

syftr is an agent optimizer that helps you find the best agentic workflows for your budget.

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• Updated Mar 4, 2026
• Python

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

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• Updated Oct 18, 2020
• JavaScript

Population Based Training (in PyTorch with sqlite3). Status: Unsupported

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• Updated Jan 31, 2018
• Python

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

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• Updated May 6, 2018
• Python

🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.

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• Updated Apr 12, 2019
• Python

Distribution transparent Machine Learning experiments on Apache Spark

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• Updated Feb 21, 2024
• Python

Black-box optimization library

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• Updated Aug 16, 2024
• Jupyter Notebook

🎯 📈 Sequential and Model-Based Optimization in Python, feat. SCE-UA, SMBO & SHGO. SOTA perf; 0 deps

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• Updated Jul 10, 2025
• Python

Использование MLflow для трекинга экспериментов PyTorch и Sklearn

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• Updated Dec 25, 2025
• Jupyter Notebook