114 results found Sort:
- Filter by Primary Language:
- Julia (53)
- Python (30)
- Jupyter Notebook (5)
- TeX (3)
- Fortran (3)
- C++ (2)
- CSS (2)
- HTML (2)
- R (2)
- Java (1)
- MATLAB (1)
- Polar (1)
- Go (1)
- V (1)
- Rust (1)
- Scala (1)
- F# (1)
- TypeScript (1)
- JavaScript (1)
- +
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equation...
r
dae
dde
ode
sde
spde
julia
sciml
python
numerical
scientific
dynamical-systems
stochastic-processes
differentialequations
differential-equations
scientific-machine-learning
delay-differential-equations
neural-differential-equations
differential-algebraic-equations
stochastic-differential-equations
Created
2016-05-11
1,406 commits to master branch, last one 4 days ago
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Created
2019-08-29
367 commits to master branch, last one about a month ago
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, ...
Created
2015-02-09
2,779 commits to main branch, last one about a month ago
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Created
2020-07-06
164 commits to master branch, last one 2 months ago
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Created
2021-07-25
674 commits to main branch, last one 5 days ago
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and ...
dae
dde
ode
pde
sde
julia
sciml
acausal
symbolic
optimization
equation-based
computer-algebra
symbolic-numerics
symbolic-computation
nonlinear-programming
differential-equations
scientific-machine-learning
delay-differential-equations
ordinary-differential-equations
stochastic-differential-equations
Created
2018-02-27
7,612 commits to master branch, last one 12 hours ago
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Created
2017-03-14
2,756 commits to master branch, last one 16 hours ago
Brian is a free, open source simulator for spiking neural networks.
Created
2012-11-27
6,537 commits to master branch, last one a day ago
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
pinn
stiff-ode
neural-dde
neural-ode
neural-pde
neural-sde
neural-sdes
scientific-ai
scientific-ml
neural-networks
differentialequations
differential-equations
neural-jump-diffusions
physics-informed-learning
scientific-machine-learning
delay-differential-equations
neural-differential-equations
partial-differential-equations
ordinary-differential-equations
stochastic-differential-equations
Created
2018-12-26
1,955 commits to master branch, last one 4 days ago
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
Created
2019-03-28
1,248 commits to master branch, last one about a month ago
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Created
2016-10-31
1,297 commits to master branch, last one about a year ago
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
Created
2020-05-18
58 commits to master branch, last one 3 years ago
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning ...
Created
2016-10-22
9,671 commits to master branch, last one 3 days ago
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Created
2018-04-21
232 commits to master branch, last one 2 months ago
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
Created
2017-02-06
5,113 commits to master branch, last one 5 hours ago
Physics-Informed Neural networks for Advanced modeling
Created
2021-11-29
542 commits to master branch, last one a day ago
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
Created
2020-05-08
119 commits to master branch, last one about a year ago
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
Created
2019-10-04
1,075 commits to master branch, last one 4 days ago
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
Created
2021-06-27
22 commits to main branch, last one 9 months ago
V library to develop Artificial Intelligence and High-Performance Scientific Computations
Created
2019-12-03
1,128 commits to main branch, last one 4 days ago
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, S...
Created
2016-11-02
3,516 commits to master branch, last one 2 days ago
Surrogate modeling and optimization for scientific machine learning (SciML)
Created
2019-05-08
1,271 commits to master branch, last one 6 days ago
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
dae
dde
ode
pde
sde
sciml
neural-ode
hacktoberfest
differentialequations
differential-equations
scientific-machine-learning
delay-differential-equations
neural-differential-equations
partial-differential-equations
ordinary-differential-equations
differential-algebraic-equations
stochastic-differential-equations
Created
2016-10-20
3,548 commits to master branch, last one 3 days ago
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Created
2016-10-31
3,222 commits to master branch, last one 2 days ago
18.S096 - Applications of Scientific Machine Learning
Created
2020-01-05
21 commits to master branch, last one 2 years ago
Arrays with arbitrarily nested named components.
Created
2020-04-10
568 commits to main branch, last one 25 days ago
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
Created
2019-07-16
179 commits to master branch, last one about a year ago
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Created
2019-06-24
918 commits to master branch, last one about a month ago
scikit-fmm is a Python extension module which implements the fast marching method.
Created
2012-02-06
293 commits to master branch, last one about a month ago
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Created
2016-11-01
2,440 commits to master branch, last one 3 days ago