Fast, Declarative, Reproducible, and Composable Developer Environments

A post-modern modal text editor.

The most customizable typing website with a minimalistic design and a ton of features. Test yourself in various modes, track your progress and improve your speed.

perfect programming language

A highly efficient implementation of Gaussian Processes in PyTorch

Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Forward Mode Automatic Differentiation for Julia

A Julia wrapper for libpq

A Julia REPL mode for SQL

A carefully crafted Org exporter back-end for Hugo

Julia package for automated Bayesian inference on a factor graph with reactive message passing

Powerful convenience for Julia visualizations and data analysis

A Julia machine learning framework

Elegant & Performant Scientific Machine Learning in Julia

"Distributions" that might not add to one.

The tiniest of Gaussian Process libraries

Julia extension for Visual Studio Code

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

Project Interaction Library for Emacs

An Emacs framework for the stubborn martian hacker

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

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

The Julia Programming Language

An interface to communicate with Jupyter kernels.

Emacs client/library for the Language Server Protocol

Bayesian inference with probabilistic programming.

Relax! Flux is the ML library that doesn't make you tensor