26 results found Sort:
- Filter by Primary Language:
- Julia (11)
- Python (5)
- Jupyter Notebook (2)
- Fortran (2)
- C (1)
- Rust (1)
- CSS (1)
- Elixir (1)
- R (1)
- +
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
5,459 commits to master branch, last one 3 days ago
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Created
2019-07-14
115 commits to master branch, last one about a year ago
Python library for arbitrary-precision floating-point arithmetic
Created
2011-12-07
1,846 commits to master branch, last one 23 days ago
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Created
2017-03-14
2,453 commits to master branch, last one 14 days 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
1,858 commits to master branch, last one 11 days 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 9 months 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
7,432 commits to master branch, last one a day ago
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Created
2018-04-21
199 commits to master branch, last one 2 months 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
3,282 commits to master branch, last one 6 days ago
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
Created
2013-03-12
1,025 commits to master branch, last one 26 days ago
C and Python examples from my book on using PETSc and Firedrake to solve PDEs
Created
2014-09-21
2,456 commits to master branch, last one 28 days ago
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Created
2018-04-19
169 commits to master branch, last one 2 months ago
Python notebooks for Numerical Analysis
Created
2019-08-22
207 commits to master branch, last one 8 months ago
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
Created
2017-07-24
785 commits to master branch, last one about a month ago
The Base interface of the SciML ecosystem
Created
2021-01-26
2,130 commits to master branch, last one 3 days ago
AUTO is a publicly available software for continuation and bifurcation problems in ordinary differential equations originally written in 1980 and widely used in the dynamical systems community.
Created
2017-09-19
1,969 commits to master branch, last one about a month ago
A standard library of components to model the world and beyond
Created
2021-11-02
757 commits to main branch, last one a day ago
Solve ODEs fast, with support for PyMC
Created
2019-08-08
162 commits to master branch, last one 18 days ago
∫ Straightforward numerical integration of systems of ordinary differential equations
Created
2015-09-25
603 commits to master branch, last one about a month ago
Solving linear, nonlinear equations, ordinary differential equations, ... using numerical methods in fortran
Created
2017-01-19
93 commits to master branch, last one 3 years ago
Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
Created
2020-08-13
23 commits to master branch, last one 2 years ago
This repository has no description...
Created
2021-08-17
26 commits to main branch, last one about a year ago
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Created
2016-10-28
736 commits to master branch, last one 14 days ago
Numerical methods to solve ordinary differential equations in Rust.
Created
2018-09-10
81 commits to main branch, last one 4 months ago
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
Created
2020-11-10
423 commits to master branch, last one 2 days ago
A numerical integrator written in Elixir for the solution of sets of non-stiff ordinary differential equations (ODEs).
Created
2023-04-01
409 commits to main branch, last one 15 days ago