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ray 是用 Python 编写的学习资料，用于系统学习与查阅，主打可伸缩。

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

d2l-en 是用 Python 编写的学习资料，用于系统学习与查阅。

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, M…

optuna 是用 Python 编写的学习资料，用于系统学习与查阅。

A hyperparameter optimization framework

nni 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打开源免费。

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression …

wandb 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

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

autogluon 是用 Python 编写的学习资料，用于系统学习与查阅，主打速度快。

Fast and Accurate ML in 3 Lines of Code

tpot 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

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

auto-sklearn 是用 Python 编写的学习资料，用于系统学习与查阅。

Automated Machine Learning with scikit-learn

FLAML 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅，主打速度快。

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

coursera-deep-learning-specialization 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural …

awesome-automl-papers 是一个资源清单，按主题汇总同类优质资源。

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

polyaxon 是用 MDX 编写的 AI 工具，用于人工智能方向的建模与推理。

AI Infra / AI Orchestration / AI Control Plane

mljar-supervised 是用 Python 编写的学习资料，用于系统学习与查阅。

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

determined 是用 Go 编写的学习资料，用于系统学习与查阅，主打可伸缩、开源免费。

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resourc…

keras-tuner 是用 Python 编写的学习资料，用于系统学习与查阅。

A Hyperparameter Tuning Library for Keras

rl-baselines3-zoo 是用 Python 编写的学习资料，用于系统学习与查阅，主打适合生产环境。

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

scikit-optimize 是用 Python 编写的学习资料，用于系统学习与查阅。

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

hyperas 是用 Python 编写的开源项目，主题标签有限，建议打开仓库查看具体用途，主打易用。

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

vizier 是用 Python 编写的学习资料，用于系统学习与查阅。

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

auto_ml 是用 Python 编写的学习资料，用于系统学习与查阅。

[UNMAINTAINED] Automated machine learning for analytics & production

talos 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Hyperparameter Experiments with TensorFlow and Keras

Robyn 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅，主打开源免费。

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democra…

Hyperparameter-Optimization-of-Machine-Learning-Algorithms 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅，主打易用。

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Gradient-Free-Optimizers 是用 Python 编写的学习资料，用于系统学习与查阅，主打轻量。

Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces