The ultimate Vim configuration (vimrc)

LLM training in simple, raw C/CUDA

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…

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

Free MLOps course from DataTalks.Club

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

A collection of machine learning examples and tutorials.

A Python implementation of global optimization with gaussian processes.

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Uplift modeling and causal inference with machine learning algorithms

Probabilistic reasoning and statistical analysis in TensorFlow

Examples of how to create colorful, annotated equations in Latex using Tikz.

Plotting library for IPython/Jupyter notebooks

A language for constraint-guided and efficient LLM programming.

An index of algorithms for learning causality with data

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

Night theme for Zotero UI and PDF

🎹🎸A music theory library with a command-line interface

OSI Layer 2 driver for nRF24L01 on Arduino & Raspberry Pi/Linux Devices

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

LLM vulnerability scanner

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.

🎲 Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation