A shortcut action to cache Julia artifacts, packages, and registries.

Bayesian inference with probabilistic programming.

The official registry of general Julia packages

A machine learning compiler for GPUs, CPUs, and ML accelerators

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

Benchmarks for differentiable programming across languages and domains.

adaptive 1d numerical Gauss–Kronrod integration in Julia

AD x Turing.jl status

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAE…

Distributed High-Performance Symbolic Regression in Julia

Reusable compiler infrastructure for Julia GPU backends.

High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.

Documentation and tutorials for the Turing language

Repository for automatic differentiation backend types

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

Implementation of domain-specific language (DSL) for dynamic probabilistic programming

Implementation of normalising flows and constrained random variable transformations

A faster approximation to floating point power, at the trade-off of some accuracy

Portable (POSIX/Windows/Emscripten) thread pool for C/C++

Development repository for the Triton language and compiler

Functionality for modifying Julia package registry files

High-Performance Symbolic Regression in Python and Julia

The Julia Language: A fresh approach to technical computing.

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)

C binding generator and Julia interface to libclang

Backward compatible ML compute opset inspired by HLO/MHLO