BayesianProphet

Automated Machine Learning with scikit-learn

前端开发博客，分享互联网最精彩的前端技术，欢迎关注我微信公众号：前端开发博客，回复 1024，领取前端进阶资料包，回复 加群，与大神一起交流学习。

A modular active learning framework for Python

RNN based Time-series Anomaly detector model implemented in Pytorch.

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Forecasting Functions for Time Series and Linear Models

a distributed Hyperband implementation on Steroids

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.