Evaluation tools for time series machine learning algorithms.

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

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

Fast and Accurate ML in 3 Lines of Code

Automated Machine Learning with scikit-learn

AutoML library for deep learning

Hyper-parameter optimization for sklearn

An open-source, low-code machine learning library in Python

The most cited deep learning papers

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

A unified framework for machine learning with time series

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers