Code samples for my book "Neural Networks and Deep Learning"

A collection of machine learning examples and tutorials.

A Python implementation of global optimization with gaussian processes.

Uplift modeling and causal inference with machine learning algorithms

A language for constraint-guided and efficient LLM programming.

A Python library that helps data scientists to infer causation rather than observing correlation.

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

A Python package for time series classification

Interactive viewer for graphs written in Graphviz's dot language.

An implementation of the TrueSkill rating system for Python

automatically tests prompt injection attacks on ChatGPT instances

A python program to play chess against an AI in the terminal.

A library for federated learning (a distributed machine learning process) in an enterprise environment.

Utility for adding word wise information to non amazon books

Python code for training fair logistic regression classifiers.

Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset

Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"

Online EM algorithms for hidden Markov and semi-Markov models + applications to audio segmentation and clustering

Using the model, view and controller design pattern for games

A Tetris environment to train machine learning agents

An AI agent Learning to play Flappy Bird using Evolution Strategies and deep learning models.

Sticky hierarchical Dirichlet process hidden Markov model for time series denoising

Python implementation of Sum-Product for Factor Graphs

programming assignments for cal tech machine learning class

This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neural Information Processing Systems, 2013. papers.nips.cc/pape…

ML-Git is a tool which provides a Distributed Version Control system to enable efficient dataset management. Like its name emphasizes, it is meant to be like git in mindset, concept and workflows. …

Efficient Dirichlet process clustering

A lightweight implementation of Behavior Trees in Python that can interface with the ROS framework.

An open-source checkers game with a computer-based AI, written with Python and Tkinter.

computer vision