Repository Index

Python Data Science Handbook: full text in Jupyter Notebooks

• scikit-learn
• numpy
• python
• jupyter-notebook

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

• bayesian-methods
• pymc
• mathematical-analysis
• jupyter-notebook

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

• python
• jupyter
• jupyter-notebook
• machine-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

• pytorch
• machine-learning
• deep-learning

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

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

• open-vocabulary-detection
• open-vocabulary-segmentation
• data-generation
• automatic-labeling-system

Companion webpage to the book "Mathematics For Machine Learning"

llama3 implementation one matrix multiplication at a time

This repository contains the source code for the paper First Order Motion Model for Image Animation

• deep-learning
• image-animation
• generative-model
• motion-retargeting

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

• machine-learning
• python
• data-science
• automl

Automatic extraction of relevant features from time series:

• data-science
• feature-extraction
• time-series

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

• h2o
• machine-learning
• data-science
• deep-learning

A course in reinforcement learning in the wild

• reinforcement-learning
• course-materials
• deep-learning
• deep-reinforcement-learning

An interactive data visualization tool which brings matplotlib graphics to the browser using D3.

Handout for the tutorial "Creating publication-quality figures with matplotlib"

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

• deep-learning
• depth-prediction
• visual-odometry
• self-supervised-learning

Natural Gradient Boosting for Probabilistic Prediction

• machine-learning
• gradient-boosting
• natural-gradients
• uncertainty-estimation

An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.

• rag
• ai-agents
• alignment
• debugging

Instructional notebooks on music information retrieval.

• ipython-notebook
• music-information-retrieval
• python
• machine-learning

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

• drug-repurposing
• deep-learning
• drug-target-interactions
• toolkit

Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.

• jupyter
• jupyter-notebook
• python
• plotting