Venkateshprasad's repositories
Catalyst.jl
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software
Compat.jl
Compatibility across Julia versions
ControlSystemIdentification.jl
System Identification toolbox for LTI systems, compatible with ControlSystems.jl
DataDrivenDiffEq.jl
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
DataInterpolations.jl
A library of data interpolation and smoothing functions
DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
DiffEqFlux.jl
Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
DistributionsAD.jl
Automatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiff
DynamicQuantities.jl
Lightweight + fast physical quantities in Julia
julia
The Julia Language: A fresh approach to technical computing.
julia-runtest
This action runs the tests in a Julia package.
LabelledArrays.jl
Arrays which also have a label for each element for easy scientific machine learning (SciML)
ModelingToolkit.jl
A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
ModelingToolkitStandardLibrary.jl
A standard library of components to model the world and beyond
NonlinearSolve.jl
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
OldEntryRegistry
MWE for old entries problem
OrdinaryDiffEq.jl
High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
PackageCompiler.jl
Compile your Julia Package
Pkg.jl
Pkg - Package manager for the Julia programming language
PrecompileTools.jl
Reduce time-to-first-execution of Julia code
RecursiveArrayTools.jl
Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
sandbox-buildkite-plugin
Nestable containerization plugin for buildkite
SciMLBenchmarks.jl
Benchmarks for scientific machine learning (SciML) software and differential equation solvers
SparseDiffTools.jl
Fast jacobian computation through sparsity exploitation and matrix coloring
Sundials.jl
Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner
SymbolicIndexingInterface.jl
A general interface for symbolic indexing of SciML objects used in conjunction with Domain-Specific Languages
Symbolics.jl
A fast and modern CAS for a fast and modern language.
SymbolicUtils.jl
Expression rewriting and simplification