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The Julia Programming Language

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

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

Julia kernel for Jupyter

Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia

Interactive data visualizations and plotting in Julia

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

🧞The highly productive Julia web framework

Bayesian inference with probabilistic programming.

Powerful convenience for Julia visualizations and data analysis

A Julia machine learning framework

Crafty statistical graphics for Julia.

A general-purpose probabilistic programming system with programmable inference

In-memory tabular data in Julia

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

21st century AD

Compile your Julia Package

Unicode-based scientific plotting for working in the terminal

Symbolic programming for the next generation of numerical software

Curated decibans of Julia programming language.

Package to call Python functions from the Julia language

Concise and beautiful algorithms written in Julia

CUDA programming in Julia.

Penumbra Color Theme

🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs

Automatically update function definitions in a running Julia session

A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

Deep Learning framework for Julia

Exiting VIM is hard; sometimes we need to take drastic measures

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation