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Starred repositories
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…
Interactive data visualizations and plotting in Julia
🧞The highly productive Julia web framework
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
The perfect sidekick to your scientific inquiries
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…
Grid-based approximation of partial differential equations in Julia
A reinforcement learning package for Julia
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learni…
Elegant and Performant Scientific Machine Learning in Julia
Fast, continuous interpolation of discrete datasets in Julia
Reusable array functionality for Julia's various GPU backends.
Efficient implementation of struct arrays in Julia
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Arrays with arbitrarily nested named components.
A Julia package for large-scale tensor computations, with a hint of category theory
Abstract types and methods for Gaussian Processes.
Functional reactive programming extensions library for Julia
A Julia package dedicated to simulating quantum many-body systems using Matrix Product States (MPS)
One- and multi-dimensional adaptive integration routines for the Julia language