Efficient computations with symmetric and non-symmetric tensors with support for automatic differentiation.

Julia port of the Python autograd package.

Enabling StaticCompiler.jl-based compilation of (some) Julia code to standalone native binaries by avoiding GC allocations and llvmcall-ing all the things!

Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.

Geographical plotting utilities for Makie.jl

Graph-related recipes to be used with Plots.jl

Quantitative systematic trading strategy development and backtesting in Julia

Implementations of the models from the Statistical Rethinking book with Turing.jl

Causal, Higher-Order, Probabilistic Programming

Core functionality for the MLJ machine learning framework

Julia package for loading many of the data sets available in R

Reverse-mode automatic differentiation in Julia

Sparse tensors in Julia and more! Datastructure-driven array programing language.

Automatic Finite Difference PDE solving with Julia SciML

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

A Julia package for statistical inference, data manipulation and visualization of phylogenetic networks

Interior-point solver in pure Julia

A meta package for data science in julia

Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.

Automatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiff

A Platform for Scalable Modeling and Optimization

A Julia interface to the Ipopt nonlinear solver

Differentiable collision detection for polytopes, capsules, cylinders, cones, spheres, and polygons.

Differentiable RayTracing in Julia

A Julia framework for invertible neural networks

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

🎹

Math with more good bits

Finite Element tools in Julia

Algorithms for quantifying associations, independence testing and causal inference from data.

Algorithms for quantifying associations, independence testing and causal inference from data.

Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox

Time series market data

A development environment for robust and global optimization

Lasso/Elastic Net linear and generalized linear models

Package for Simulation, Tomography and Analysis of Quantum Computers

A Julia/JuMP Package for Unbalanced Power Network Optimization

-

Interior point solver for general convex conic optimization problems

A native Julia code for lattice QCD with dynamical fermions in 4 dimension.