automatic-machine-learning

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 [SIGKDD'21].

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

【数据科学家系列课程】

Package: R Interface to AutoKeras

Generalized and Efficient Blackbox Optimization System.

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

An automatic machine learning system

Comparison of automatic machine learning libraries

Auto ML for the tidyverse

mlim: single and multiple imputation with automated machine learning

This repo holds the code, dataset, and running scripts for fast k-means evaluation

Surrogarte modelling technique selector

Apprendimento automatico

Awesome papers on AutoML (Automatic Machine Learning)

EZStacking is Jupyter notebook generator for machine learning

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).