model-selection

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.

Human-explainable AI.

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

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

SmartCore is 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.

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

Hyperparameters tuning and feature selection, using evolutionary algorithms.

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

Efficient phylogenomic software by maximum likelihood

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

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