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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…
Interactive data visualizations and plotting in Julia
Powerful convenience for Julia visualizations and data analysis
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
Automatically update function definitions in a running Julia session
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
Progress meter for long-running computations
Pkg - Package manager for the Julia programming language
A reinforcement learning package for Julia
Convert julia objects to LaTeX equations, arrays or other environments.
Simple package for literate programming in Julia
Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.
⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
An algebraic spin on grammar-of-graphics data visualization in Julia. Powered by the Makie.jl plotting ecosystem.
Statistical plotting recipes for Plots.jl
Probabilistic programming via source rewriting
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
