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Interactive data visualizations and plotting 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 a…
Automatically update function definitions in a running Julia session
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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
A reinforcement learning package for Julia
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.
Probabilistic programming via source rewriting
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Symbolic parser for Julia language term rewriting using REDUCE algebra
A library of data interpolation and smoothing functions
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
Bayesian Statistics using Julia and Turing
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
Fatou sets in Julia (Fractals, Newton basins, Mandelbrot)
Functions generated at runtime without world-age issues or overhead
A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
Julia package for the Apache ECharts v4 visualization library
Automatic optimization and parallelization for Scientific Machine Learning (SciML)
A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.