junpenglao

prometheus

The Prometheus monitoring system and time series database.

act

Run your GitHub Actions locally 🚀

RustPython

A Python Interpreter written in Rust

pyscript

Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2

xg2xg

by ex-googlers, for ex-googlers - a lookup table of similar tech & services

darts

A python library for user-friendly forecasting and anomaly detection on time series.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

pyprobml

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

elk

A nimble Mastodon web client

equinox

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

diffrax

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

optax

Optax is a gradient processing and optimization library for JAX.

aesara

Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.

jaxtyping

Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/

dynamax

State Space Models library in JAX

chex

pytensor

PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

oryx

Oryx is a library for probabilistic programming and deep learning built on top of Jax.

sts-jax

Structural Time Series in JAX

xarray-beam

Distributed Xarray with Apache Beam

sampling-book

Tutorials and sampling algorithm comparisons

aeppl

Tools for an Aesara-based PPL.

preliz

A tool-box for prior elicitation.

PGMax

Loopy belief propagation for factor graphs on discrete variables, in JAX!

ssm-jax

Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend

aehmc

An HMC/NUTS implementation in Aesara

kulprit

Kullback-Leibler projections for Bayesian model selection in Python

chirpgp

Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes

BART

BART experiments

blackjax-feedstock

A conda-smithy repository for blackjax.