A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
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Updated
Sep 13, 2024
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcome for bug fixes and minor changes.
A Python native dynamical system simulation framework in the block diagram paradigm.
An open-source toolbox for fast sampling of diffusion models. Official implementations of our works published in ICML'24, NeurIPS'24, CVPR'24, J. Stat. Mech'25.
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
Code for the paper "Learning Differential Equations that are Easy to Solve"
C++ library for ODE integration via Taylor's method and LLVM
开源Go语言数值算法库(An open numerical library purely based on Go programming language)
Scientific computing that fits on a microcontroller. Estimation, control, kinematics, Lie groups, calculus, autodiff and linear algebra in stable no_std Rust with no heap, no panics and no unsafe. Run the same code on your laptop and your Cortex-M0.
ODE integration using Taylor's method, and more, in Julia
Self advection, external force and pressure solve to a velocity field represented by a MaC grid.
ODE solver library in Rust
Physics-first, uncertainty-honest in-silico cell and drug-response simulator (Python). Validated docking/ADMET input layer (Vina, OpenFF, xTB), cell-level PK/PD modules, and a cell/colony engine under construction toward a validated interactive dish.
Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
Python wrapper of LSODA (solving ODEs) which can be called from within numba functions.
Cloud-first free no-fee no-X uniX-like finite-element(ish) computational engineering tool
Flexible Inference for Predictive Coding Networks in JAX.
Fixed and variable-step Runge-Kutta solvers in Modern Fortran
Python library for ODE integration via Taylor's method and LLVM
A collection of numerical methods written in Nim
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