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Hendrik Ranocha's Projects

decfp.jl icon decfp.jl

Julia IEEE decimal floating-point via the Intel decimal-float library

deepequilibriumnetworks.jl icon deepequilibriumnetworks.jl

Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelerated convergence.

deml icon deml

Material for a course on differential equations in machine learning

desolvediffeq.jl icon desolvediffeq.jl

Wrappers for calling the R deSolve differential equation solvers from Julia for scientific machine learning (SciML)

diffeqapproxfun.jl icon diffeqapproxfun.jl

The tools for proper interactions between ApproxFun.jl and DifferentialEquations.jl for pseudospectiral partial differential equation discretizations in scientific machine learning (SciML)

diffeqbase.jl icon diffeqbase.jl

The lightweight Base library for shared types and functionality.

diffeqbayes.jl icon diffeqbayes.jl

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

diffeqdsl.jl icon diffeqdsl.jl

A domain-specific language for specifying various differential equations

diffeqfinancial.jl icon diffeqfinancial.jl

Differential equation problem specifications and scientific machine learning for common financial models

diffeqflux.jl icon 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

diffeqgpu.jl icon diffeqgpu.jl

GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

diffeqio.jl icon diffeqio.jl

Saving and loading of JuliaDiffEq types for I/O of scientific machine learning (SciML)

diffeqmontecarlo.jl icon diffeqmontecarlo.jl

Monte Carlo simulation routines for high-performance parallelization of differential equation solvers and scientific machine learning

diffeqnoiseprocess.jl icon diffeqnoiseprocess.jl

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

diffeqoperators.jl icon diffeqoperators.jl

Linear operators for discretizations of differential equations and scientific machine learning (SciML)

diffeqparamestim.jl icon diffeqparamestim.jl

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

diffeqpdebase.jl icon diffeqpdebase.jl

Library for common tools for solving PDEs with finite difference methods (FDM), finite volume methods (FVM), finite element methods (FEM), and psuedospectral methods in a way that integrates with the SciML Scientific Mechine Learning ecosystem

diffeqphysics.jl icon diffeqphysics.jl

A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)

diffeqproblemlibrary.jl icon diffeqproblemlibrary.jl

A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools

diffeqpy.jl icon diffeqpy.jl

A helper repository for diffeqpy to enable high-performance differential equation solving scientific machine learning (SciML) in Python

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