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

Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data

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

The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.

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

This project aims to create Machine Learning models using Azure's AutoML to find the best model that fits the data and Hypderdrive to find the best hyperparameters.

Knowledge-driven AutoML

AutoML as a Service.

A GitHub compiling the input data, Python and Jupyter Notebook scripts, and all relevant statistical outputs from running the AutoMLPipe-BC automated machine learning pipeline (from the Urbanowicz Lab - https://github.com/UrbsLab) on a large-scale single nucleotide polymorphism (SNP) dataset from patients with congenital heart disease (CHD)

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.

Auto Machine learning platform as seen on https://www.youtube.com/watch?v=JHJLLiMnz6A

Automating the ML Training Lifecycle with MLxOPS

Utilizes pycaret to automates machine learning workflows (Deployed at streamlit)