Khiops is an AutoML suite for supervised and unsupervised learning

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

EzStacking: From data to Kubernetes thru Scikit-Learn, FastAPI and Docker in a few clicks and command lines!

Generalized and Efficient Blackbox Optimization System

The Python library of the Khiops AutoML suite

【数据科学家系列课程】

Experiments of AutoML/data science packages and solving Kaggle competition in Google Colaboratory or DevContainer/Codespace

Auto ML for the tidyverse

Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.

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.

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

An automatic machine learning system

mlim: single and multiple imputation with automated machine learning

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

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).

A collection of courses at Master program at Deep Learning department in ITMO University

A general, modular, and programmable architecture search framework

Apprendimento automatico

Generalized and Efficient Blackbox Optimization System.

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