Blog posts on best practices for Julia development

CUDA programming in Julia.

Probabilistic Finite Volume Method based on Affine Gaussian Process inference

Agustinus' very opiniated publication-ready plotting library

Matrix-free linear algebra in JAX.

Code for the paper "Computation-Aware Kalman Filtering and Smoothing"

Computation-Aware Kalman Filtering and RTS Smoothing

Regression tests without false positives

One More Einsum for Julia! With runtime order-specification and high-level adjoints for AD

"whenever I type this in the REPL, run that for me"

Sketched matrix decompositions for PyTorch

KeePassXC is a cross-platform community-driven port of the Windows application “Keepass Password Safe”.

Recursive Bayesian Estimation (Sequential / Online Inference)

Finally, a GUI Engine made for Julia

The most no-nonsense, locally or API-hosted AI code completion plugin for Visual Studio Code - like GitHub Copilot but completely free and 100% private.

Protect your data against global mass surveillance programs.

No-overhead breakpoints in Julia

An experimental code analyzer for Julia. No need for additional type annotations.

An extremely fast Python package installer and resolver, written in Rust.

Drag and drop images to Emacs org-mode

Efficient and type-stable physical quantities in Julia

Comprehensive guide to generative AI projects and resources in Julia.

You like pytorch? You like micrograd? You love tinygrad! ❤️

Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.

A collection of chaotic ODEs.

AllocCheck

An innovative superfamily of fonts for code

A comprehensive guide on how to create beautiful scientific figures for technical publications, presentations, and posters