🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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

Fast and Accurate ML in 3 Lines of Code

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

AutoML library for deep learning

Automated Machine Learning with scikit-learn

An open source python library for automated feature engineering

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Google Brain AutoML

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

cube studio开源云原生一站式机器学习/深度学习/大模型AI平台，mlops算法链路全流程，算力租赁平台，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务VGPU虚拟化，边缘计算，标注平台自动化标注，deepseek等大模型sft微调/奖励模型/强化学习训练，vllm/ollama/mindie大模型多机推理，私有知识库，AI模型市场，支持国产cpu/gpu/npu 昇腾生态，支持RDMA，支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano等分布式

Lightning ⚡️ fast forecasting with statistical and econometric models.

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

Merlion: A Machine Learning Framework for Time Series Intelligence

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

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

Differentiable architecture search for convolutional and recurrent networks

High-Performance Symbolic Regression in Python and Julia

Fast and flexible AutoML with learning guarantees.

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

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

a delightful machine learning tool that allows you to train, test, and use models without writing code

A Hyperparameter Tuning Library for Keras

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

Automatic architecture search and hyperparameter optimization for PyTorch

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

A framework for large scale recommendation algorithms.

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models