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49 search results found

Differentialequations.jl ⭐ 2,689

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

Torchsde ⭐ 1,357

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Diffrax ⭐ 1,131

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Brian is a free, open source simulator for spiking neural networks.

Scimltutorials.jl ⭐ 698

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Neurodiffeq ⭐ 576

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

Brainpy ⭐ 438

Brain Dynamics Programming in Python

Torchcde ⭐ 361

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

Neuralcde ⭐ 352

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

Wavetorch ⭐ 348

🌊 Numerically solving and backpropagating through the wave equation

Scimlbenchmarks.jl ⭐ 279

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

Physics-Informed Neural networks for Advanced modeling

Easy Neural Ode ⭐ 186

Code for the paper "Learning Differential Equations that are Easy to Solve"

Fbpinns ⭐ 110

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

Numerical Methods Python ⭐ 72

Numerical methods implementation in Python.

Tensordiffeq ⭐ 60

Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing

Fasterneuraldiffeq ⭐ 52

Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)

Double_pendulum ⭐ 49

Animations of random double pendulums

Neurallaplace ⭐ 48

Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.

Stg Ncde ⭐ 45

"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022

Torch_de_solver ⭐ 42

Combines power of torch, numerical methods to conquer and solve ALL {O,P}DEs

odeintw provides a wrapper of scipy.integrate.odeint that allows it to handle complex and matrix differential equations.

Poisson Solver 2d ⭐ 34

Finite difference solution of 2D Poisson equation. Can handle Dirichlet, Neumann and mixed boundary conditions.

Pydiffgame ⭐ 29

PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential Riccati equations, associated with Multi-Objective Dynamical Control Systems

Gpt Pinn ⭐ 22

Generative Pre-Trained Physics-Informed Neural Networks Implementation

Scipydiffeq.jl ⭐ 20

Wrappers for the SciPy differential equation solvers for the SciML Scientific Machine Learning organization

Pararealml ⭐ 19

A machine learning boosted parallel-in-time differential equation solver framework.

Schrodingers Equation Solution By Neural Network ⭐ 17

Artifitial Neural Networks for Solving Ordinary and Partial Differential Equations, in this case, Schrodinger's Equation for One Particle in a 1-Dimentional Box

Tensorflowdiffeq.jl ⭐ 14

Using TensorFlow for physics-informed neural networks for scientific machine learning (SciML)

[TGRS21] Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations

Scimlbenchmarksoutput ⭐ 13

SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance

A Tutorial for Parallelised Scalable Simulations in TensorFlow

Simframe ⭐ 11

Python framework for setting up and running scientific simulations. It comes with a variety of integration schemes and some infrastructure of reading and writing data files.

Extensisq ⭐ 11

Extend scipy.integrate with various methods for solve_ivp

LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21

Leibniz is a python package which provide facilities to express learnable partial differential equations with PyTorch

A set of "real-time" covid19 county-level dashboards w/ national and state choropleths for monitoring localized infection resurgences as distancing, testing and tracing measures evolve.

Engcomp3_tourdynamics ⭐ 8

Tour of the dynamics of change and motion using computational thinking with Python

Programmering og modellering

Source code generator for differential equation solvers.

Numeric Python ⭐ 7

Covers a variety of computational topics including integration, differential equations, statistical analysis and signal processing.

Sdd Gp Mpc ⭐ 6

This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).

Infinite Square Well Schrodinger Equation ⭐ 6

Analytical solution to the Time-Dependent Schrodinger equation for a particle in an infinite square well

Finitedifference_pricing ⭐ 5

Pricing derivatives using the explicit finite-difference method

Differentiable_t1d ⭐ 5

Differentiable simulators for Type 1 Diabetes research in Jax and PyTorch

Computational Physics Solutions ⭐ 5

This project's aim is to provide a sample of my abilities in the form of a challange. The challange is to provide a solution to all exercises in the book Computational Physics by Mark Newman

Dae Scipy ⭐ 5

Modifications of Scipy's implicit solvers for the solution of differential-algebraic equations (DAEs)

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