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.
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Updated
Jul 16, 2024 - 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.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
A hyperparameter optimization framework
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Automated Machine Learning with scikit-learn
Fast and Accurate ML in 3 Lines of Code
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
A Hyperparameter Tuning Library for Keras
Sequential model-based optimization with a `scipy.optimize` interface
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
[UNMAINTAINED] Automated machine learning for analytics & production
Hyperparameter Experiments with TensorFlow and Keras
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
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