Pinned Repositories
chess-engine-rs
Collide.jl
MTK-Exploration
Just some experimentation with MTK.jl (https://mtk.sciml.ai/)
NodeGraphEditor.jl
PrimitiveCollisions.jl
A simple library for checking collisions between geometric primitives.
recommender-system
SimpleEvolution
A Simple Evolution simulation
Agents.jl
Agent-based modeling framework in Julia
ModelingToolkit.jl
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 and automated transformations of differential equations
SymbolicIndexingInterface.jl
A general interface for symbolic indexing of SciML objects used in conjunction with Domain-Specific Languages
AayushSabharwal's Repositories
AayushSabharwal/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
AayushSabharwal/.github
Organization-wide .github actions and other metadata
AayushSabharwal/BifurcationKit.jl
A Julia package to perform Bifurcation Analysis
AayushSabharwal/BoundaryValueDiffEq.jl
Boundary value problem (BVP) solvers for scientific machine learning (SciML)
AayushSabharwal/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.
AayushSabharwal/ControlSystemsMTK.jl
Interface between ControlSystems and ModelingToolkit
AayushSabharwal/DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
AayushSabharwal/dynamo-release
Inclusive model of expression dynamics with metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
AayushSabharwal/GraphSignals.jl
Data structures for graph neural network
AayushSabharwal/julia
The Julia Programming Language
AayushSabharwal/JuliaGeneralRegistry
The official registry of general Julia packages
AayushSabharwal/JumpProcesses.jl
Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
AayushSabharwal/LabelledArrays.jl
Arrays which also have a label for each element for easy scientific machine learning (SciML)
AayushSabharwal/LinearSolve.jl
LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
AayushSabharwal/Measurements.jl
Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.
AayushSabharwal/MethodOfLines.jl
Automatic Finite Difference PDE solving with Julia SciML
AayushSabharwal/ModelingToolkitStandardLibrary.jl
A standard library of components to model the world and beyond
AayushSabharwal/NonlinearSolve.jl
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
AayushSabharwal/Optimization.jl
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 interface.
AayushSabharwal/OrdinaryDiffEq.jl
High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
AayushSabharwal/RecursiveArrayTools.jl
Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
AayushSabharwal/SciMLBase.jl
The Base interface of the SciML ecosystem
AayushSabharwal/SciMLBenchmarks.jl
Benchmarks for scientific machine learning (SciML) software and differential equation solvers
AayushSabharwal/SciMLSensitivity.jl
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
AayushSabharwal/SciMLStructures.jl
A structure interface for SciML to give queryable properties from user data and parameters
AayushSabharwal/StochasticDiffEq.jl
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
AayushSabharwal/Symbolics.jl
A fast and modern CAS for a fast and modern language.
AayushSabharwal/SymbolicUtils.jl
Expression rewriting and simplification
AayushSabharwal/Unityper.jl
AayushSabharwal/VectorPrisms.jl
Making structs viewable as AbstractVectors