Pepijn de Vos's repositories
rust-litex-hal
A Rust embedded HAL crate for LiteX cores
airco2ntrol
Custom integration for the TFA Airco2ontrol mini device into Home Assistant
pepijndevos.github.com
Personal website test
AutoOptimize.jl
Automatic optimization and parallelization for Scientific Machine Learning (SciML)
BridgeDiffEq.jl
A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)
ConstructionBase.jl
Primitives for construction of objects
DEDataArrays.jl
A deprecated way of handling discrete data in continuous equations
deSolveDiffEq.jl
Wrappers for calling the R deSolve differential equation solvers from Julia for scientific machine learning (SciML)
DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
DiffEqMonteCarlo.jl
Monte Carlo simulation routines for high-performance parallelization of differential equation solvers and scientific machine learning
DiffEqOperators.jl
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Diffractor.jl
Next-generation AD
GeometricIntegratorsDiffEq.jl
Wrappers for GeometricIntegrators.jl into the SciML common interface for scientific machine learning (SciML)
homeofthings
Puts the home first
MATLABDiffEq.jl
Common interface bindings for the MATLAB ODE solvers via MATLAB.jl for the SciML Scientific Machine Learning ecosystem
MinimallyDisruptiveCurves.jl
Finds relationships between the parameters of a mathematical model
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
OrdinaryDiffEq.jl
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
ouisician2
Reimplementations of DSP algorithms for Apicula
SciMLBase.jl
The Base interface of the SciML ecosystem
SciMLNLSolve.jl
Nonlinear solver bindings for the SciML Interface
SciPyDiffEq.jl
Wrappers for the SciPy differential equation solvers for the SciML Scientific Machine Learning organization
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