Machine Learning for Computer Systems

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

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…

Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

For deep RL and the future of AI.

Implementations for solutions to programming exercises of Reinforcement Learning: An Introduction, Second Edition (Sutton & Barto)

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

Exercises for the Big Data lecture at ETH Zurich (Fall 2025)

Inference code for Llama models

A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A programming framework for agentic AI

All Algorithms implemented in Python

Mirror of the ric-app/ts repo

Async Techniques and Examples in Python Course

Mirror of the ric-app-hw-python repo

A framework for autonomous economic agent (AEA) development

Collection of my assignments and work in the class MATH51 at Stanford

Software Defined Networks -- Micro-book

A repository dedicated to IoT(internet of things ) and python scripts

Reinforcement Learning Projects

This is a solution for CartPole game using deep Q learning and Openai.gym library

Deep Reinforcement Learning for Keras.

A toolkit for developing and comparing reinforcement learning algorithms.

A course in reinforcement learning in the wild

sd-wan reinforcement learning experiments

AI gym for SD-WAN

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Importa…