Minimal and clean examples of machine learning algorithms implementations
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NVIDIA cuML: GPU-Accelerated Machine Learning
The machine learning toolkit for time series analysis in Python
StellarGraph - Machine Learning on Graphs
A modular active learning framework for Python
A curated list of Monte Carlo tree search papers with implementations.
🎯 A comprehensive gradient-free optimization framework written in Python
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
A fast xgboost feature selection algorithm