Stars
A machine learning package for streaming data in Python. The other ancestor of River.
Source code for our paper "BLOB: a probabilistic model for recommendation that combines organic and bandit signals" published at KDD 2020.
Python Implementation of STreeD: Dynamic Programming Approach for Optimal Decision Trees with Separable objectives and Constraints
Generalized Optimal Sparse Decision Trees
Generalized Optimal Sparse Decision Trees
Source code for the paper "Fast Offline Policy Optimization for Large Scale Recommendation" published at the Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23).
A free and strong UCI chess engine
Python package for linear combination of independent noncentral chi-squared random variables.
Materials for the "Reward Optimising Recommendation using Deep Learning and Fast Maximum Inner Product Search" tutorial delivered at the 28th SIGKDD Conference on Knowledge Discovery and Data Minin…
Jupyter notebooks for learning how to use SimpleITK
Learning Continuous Control in Deep Reinforcement Learning
A Probabilistic Context Free Grammar Parser for French based on CYK algorithm
Numerical Tours of Signal Processing
This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch