Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

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.

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

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

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

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

AutoML library for deep learning

Python AutoML for Trading Systems and Sports Betting

Provide an input CSV and a target field to predict, generate a model + code to run it.

A SKILL.md-based agent skill covering the full deep learning experiment lifecycle—running jobs on owned or rented GPUs, verifying results, and delivering reproducible figures and tables.

An open-source AutoML Library based on PyTorch

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/