jakevdp

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

WhirlwindTourOfPython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

supersmoother

Efficient pure Python implementation of Friedman's Supersmoother

jakevdp.github.io-source

Source for my Pythonic Perambulations blog

scikit-learn

scikit-learn: machine learning in Python

matplotlib

numpy

Numpy main repository

scipy

Scipy main repository

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

diffrax

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

jax-ai-stack

try-out-git

Trying git for a git tutorial

array-api-tests

Test suite for the PyData Array APIs standard

ml_dtypes

jakevdp-git-test

Test repo for a tutorial

numpyro

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

array-api-compat

Compatibility layer for NumPy to support the Array API

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dynamax

State Space Models library in JAX

equinox

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

flax

Flax is a neural network library for JAX that is designed for flexibility.

keras

Deep Learning for humans

maxtext

A simple, performant and scalable Jax LLM!

chex

coix

Inference Combinators in JAX

jax-llm-examples

jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX.

optax

Optax is a gradient processing and optimization library for JAX.

orbax

Orbax provides common utility libraries for JAX users.

sphinx-autodoc-typehints

Type hints support for the Sphinx autodoc extension