Highlights
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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 equat…
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)
Package to call Python functions from the Julia language
Symbolic programming for the next generation of numerical software
Automatically update function definitions in a running Julia session
A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
A Julia package for probability distributions and associated functions.
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Extensible, Efficient Quantum Algorithm Design for Humans.
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
Agent-based modeling framework in Julia
A code analyzer for Julia. No need for additional type annotations.
Syntax highlighting and other enhancements for the Julia REPL
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable i…
Julia implementation of Data structures
A framework for out-of-core and parallel execution
A framework for applied category theory in the Julia language