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

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

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

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

A collection of computer vision pre-trained models.

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

LAMA - automatic model creation framework

EvalML is an AutoML library written in python.

ML hyperparameters tuning and features selection, using evolutionary algorithms.

A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

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

A unified interface for optimization algorithms and experiments

Human-explainable AI.

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

💪 🤔 Modern Super Learning with Machine Learning Pipelines

Efficient phylogenomic software by maximum likelihood

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

A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a must-read for ML practitioners and Software Engineers Transitioning into ML.