GitTeaching / Predicting-using-Neural-ODELinks
Deep Learning - Predicting using Neural Ordinary Differential Equations - torchdiffeq.
☆15Updated 5 years ago
Alternatives and similar repositories for Predicting-using-Neural-ODE
Users that are interested in Predicting-using-Neural-ODE are comparing it to the libraries listed below
Sorting:
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆28Updated 2 years ago
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆16Updated last year
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆38Updated 2 years ago
- About Code release for “RoPINN: Region Optimized Physics-Informed Neural Networks” (NeurIPS 2024), https://arxiv.org/abs/2405.14369☆60Updated 6 months ago
- ☆24Updated 7 months ago
- Predicting wave propagation on shallow water with deep neural networks☆23Updated 2 years ago
- ☆15Updated 2 years ago
- ☆13Updated 4 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆37Updated last year
- Deeplearning project at The Technological University of Denmark (DTU) about Neural ODEs for finding dynamics in ordinary differential equ…☆18Updated 4 years ago
- ☆11Updated 4 years ago
- Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum…☆52Updated 5 years ago
- The public repository about our joint FINN research project☆38Updated 3 years ago
- Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning☆39Updated last year
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- ☆19Updated last year
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆48Updated 2 years ago
- Paper List of Physics-Informed Neural Network (PINN)☆53Updated last month
- ☆35Updated 2 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Updated last year
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆26Updated last year
- ☆13Updated 3 years ago
- Multiwavelets-based operator model☆69Updated 3 years ago
- Synthetic Lagrangian Turbulence by Generative Diffusion Models☆26Updated last year
- Differentiable Physics-informed Graph Networks☆67Updated 5 years ago
- Solving Inverse Physics Problems with Score Matching☆32Updated 2 years ago
- A pyTorch Extension for Applied Mathematics☆40Updated 5 years ago
- [NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting☆225Updated 3 months ago
- Pytorch Implmentation of Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series (ACSSM), ICLR 2025 Oral☆21Updated 11 months ago