Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

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

Visual analysis and diagnostic tools to facilitate machine learning model selection.

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

A collection of computer vision pre-trained models.

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

LAMA - automatic model creation framework

EvalML is an AutoML library written in python.

A comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.

Human-explainable AI.

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

Time Series Cross-Validation -- an extension for scikit-learn

ML hyperparameters tuning and features selection, using evolutionary algorithms.

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

Efficient phylogenomic software by maximum likelihood

A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.