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Python programs, usually short, of considerable difficulty, to perfect particular skills.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
The "Python Machine Learning (1st edition)" book code repository and info resource
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Deep Reinforcement Learning: Zero to Hero!
A replica of the AlphaZero methodology for deep reinforcement learning in Python
Official implementation of the paper "Watermark Anything with Localized Messages"
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
FlowAnalyzer is a tool to help in testing and analyzing OAuth 2.0 Flows, including OpenID Connect (OIDC).
Single notebook implementation of Deep RL algorithms
Exploit Prediction Scoring System (EPSS)
Steganographic text via language models
Stat 479 Project