Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

TSForecasting - Automated Time Series Forecasting Framework

Library for streaming data and incremental learning algorithms.

Atlantic - Automated Data Preprocessing Framework for Supervised Machine Learning

Sugar candy for data scientist. Easy manipulation in time-series data analytics works.

Auto torch image models: train and evaluation

TinyAutoML is a comprehensive Pipeline Classifier Project thought as a Scikit-learn plugin

Powerful AutoML toolkit

AutoML as a Service.

Shrinkit is a powerful GUI-based Python library designed for automating machine learning tasks. With its intuitive interface, Shrinkit simplifies the process of building, training, and evaluating machine learning models, making it accessible to users of all skill levels. Shrinkit is a No-code package which can be used as a GUI.

Automating the ML Training Lifecycle with MLxOPS