An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

An open source python library for automated feature engineering

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

Feature engineering package with sklearn like functionality

[UNMAINTAINED] Automated machine learning for analytics & production

Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

Automated Time Series Forecasting

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

An intuitive library to extract features from time series.

LAMA - automatic model creation framework

A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO github.com/dagworks-inc/hamilton

EvalML is an AutoML library written in python.

Code for Kaggle Data Science Competitions

Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖

Features selector based on the self selected-algorithm, loss function and validation method