Avik Pal's repositories
DataInterpolations.jl
A library of data interpolation and smoothing functions
SciMLSensitivity.jl
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.
ArrayInterface.jl
Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations
BoundaryValueDiffEq.jl
Boundary value problem (BVP) solvers for scientific machine learning (SciML)
ComponentArrays.jl
Arrays with arbitrarily nested named components.
CUDA.jl
CUDA programming in Julia.
DelayDiffEq.jl
Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.
DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
DiffEqCallbacks.jl
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
DiffEqFlux.jl
Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers
DiffEqProblemLibrary.jl
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
Functors.jl
Parameterise all the things
Octavian.jl
Multi-threaded BLAS-like library that provides pure Julia matrix multiplication
OrdinaryDiffEq.jl
High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
SciMLBase.jl
The Base interface of the SciML ecosystem
SciMLBenchmarks.jl
Benchmarks for scientific machine learning (SciML) software and differential equation solvers
StaticArrays.jl
Statically sized arrays for Julia
SteadyStateDiffEq.jl
Solvers for steady states in scientific machine learning (SciML)
StochasticDelayDiffEq.jl
Stochastic delay differential equations (SDDE) solvers for the SciML scientific machine learning ecosystem
Symbolics.jl
Symbolic programming for the next generation of numerical software
TaylorDiff.jl
Taylor-mode automatic differentiation for higher-order derivatives
TruncatedStacktraces.jl
Simpler stacktraces for the Julia Programming Language
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