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Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Bayesian inference with probabilistic programming.
A general-purpose probabilistic programming system with programmable inference
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 a…
Unicode-based scientific plotting for working in the terminal
Curated decibans of Julia programming language.
Symbolic programming for the next generation of numerical software
Concise and beautiful algorithms written in Julia
A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
An experimental code analyzer for Julia. No need for additional type annotations.
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…
Progress meter for long-running computations
Julia implementation of Data structures
Distributed High-Performance Symbolic Regression in Julia
A framework for out-of-core and parallel execution
A reinforcement learning package for Julia
Repository of best practices for deep learning in Julia, inspired by fastai
An opinionated code formatter for Julia. Plot twist - the opinion is your own.