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

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

Generalized and Efficient Blackbox Optimization System

State-of-the art Automated Machine Learning python library for Tabular Data

DeepArchitect: Automatically Designing and Training Deep Architectures

A general, modular, and programmable architecture search framework

Final Year Btech Face recognition Attendance System Project with code and Documents. Video Implementation with explanation too. Base IEEE paper Implementation

Generalized and Efficient Blackbox Optimization System.

An automatic machine learning system

Comparison of automatic machine learning libraries

The Python library of the Khiops AutoML suite

Smart Process Analytics (SPA) is a software package for automatic machine learning. Given user-input data (and optional user preferences), SPA automatically cross-validates and tests ML and DL models. Model types are selected based on the properties of the data, minimizing the risk of data-specific variance.

SKSurrogate is a suite of tools that implements surrogate optimization for expensive functions based on scikit-learn. The main purpose of SKSurrogate is to facilitate hyperparameter optimization for machine learning models and optimized pipeline design (AutoML).

Automate machine learning EDA and model building using Pandas Profiling & PyCaret.