diffeqr
Differential equation solver
Provides an R interface to solve differential equations using DifferentialEquations.jl
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
143 stars
11 watching
15 forks
Language: R
last commit: almost 2 years agodaeddedelay-differential-equationsdifferential-algebraic-equationsdifferential-equationsodeordinary-differential-equationsscientific-machine-learningscimlsdestochastic-differential-equations
Related projects:
| Repository | Description | Stars |
|---|---|---|
| Provides benchmarks for Scientific Machine Learning and equation solvers in multiple programming languages. | 319 | |
| Provides numerical differential equation solvers using autodifferentiable and GPU-capable JAX. | 1,480 | |
| A Matlab toolbox for numerically solving stochastic differential equations | 99 | |
| A software package for solving inverse problems in scientific imaging applications. | 107 | |
| A comprehensive resource for learning R programming and data science concepts | 2,019 | |
| An ODE solving library for Go with support for multi-dimensional states and various numerical methods. | 22 | |
| A collection of numerical routines and bindings for the D programming language. | 91 | |
| A C++ library that uses the algebraic multigrid method to solve large sparse linear systems in scientific computing | 751 | |
| A domain-specific language for modeling and analyzing complex scientific computations and visualizations | 67 | |
| A comprehensive V library for high-performance scientific computations and artificial intelligence. | 358 | |
| An R package that provides a high-level wrapper for the Julia convex optimization library Convex.jl to solve various convex programming problems. | 14 | |
| Differential machine learning implementation and demonstration notebooks | 138 | |
| Automates differentiation of R functions using Julia | 23 | |
| A Julia package for solving optimization problems in water distribution networks | 74 | |
| An algorithm for deep reinforcement learning that combines model-free and model-based approaches to learn robust value functions. | 98 |