Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Fast and customizable framework for automatic ML model creation (AutoML)

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

A SapientML plugin of SapientMLGenerator

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

Encodings for neural architecture search

SensiML's open-source AutoML solution for Edge AI model development

This repository contains an implementation of TPOT for obtaining optimal pipelines with the use of genetic algorithms.

AutoML as a Service.

a library to tune xgboost models

Development of an AutoML System to Predict the Compressive Strength of Concrete

mlopt is an AutoML library. Implementing some meta-heuristics optimization algorithms to generate fully trained and hyper parameterized ML models. The most used are Genetic Algorithm, PSO Algorithm and ACO Algorithm.

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 ML application app with dash. Classification and Regression algorithms.

AutoML