Learn how to design, develop, deploy and iterate on production-grade ML applications.

Python programs, usually short, of considerable difficulty, to perfect particular skills.

A collection of various deep learning architectures, models, and tips

Data and code behind the articles and graphics at FiveThirtyEight

Companion webpage to the book "Mathematics For Machine Learning"

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

PRML algorithms implemented in Python

Automatic extraction of relevant features from time series:

Visualizations for machine learning datasets

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain

A python library for decision tree visualization and model interpretation.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

🪼 a python library for doing approximate and phonetic matching of strings.

Python class that generates pixel art from images

python partial dependence plot toolbox

The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.

Gurobi modeling examples

Joy is a tiny creative coding library in Python.

This library provides an implementation of the DBSP language for incremental streaming computations.

MeteoNet's toolbox and documentation

✂️ Fast slice finding for Machine Learning model debugging.

Genetic Programming library in Python

Calculation recipes for brightway2. Instructions to becoming an LCA gourmet.