User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

A topic-centric list of HQ open datasets.

A list of cool features of Git and GitHub.

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

Machine Learning Systems

Monospaced font family for user interface and coding environments

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

100 numpy exercises (with solutions)

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

Real-Time High-Resolution Background Matting

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

A data science IDE for Python

Lectures on scientific computing with python, as IPython notebooks.

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

Painlessly create beautiful matplotlib plots.

NVIDIA curated collection of educational resources related to general purpose GPU programming.

General Assembly's Data Science course in Washington, DC

Learning numerical computing with notebooks for all ages.

Creative Commons Licenses for Github

A community-sourced data science repo.

Teaching and Learning with Jupyter

Code that accompanies the book "Linear Algebra for Data Science"

A simple Python => MATLAB(R) interface and a matlab_magic for ipython

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

Introduction to Chemical Engineering Analysis

Probabilistically assign gender and race proportions of first/last authors pairs in bibliography entries

Aeronautical engineering calculations in Python.

A Computational Fluid Dynamics (CFD) course with Python