Jie0618 / PhysicsRegressionLinks
A Neural Symbolic Model for Space Physics
☆52Updated 2 months ago
Alternatives and similar repositories for PhysicsRegression
Users that are interested in PhysicsRegression are comparing it to the libraries listed below
Sorting:
- ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs☆118Updated 10 months ago
- Official implementation of Learning Dissipative Chaos In A Linear Way☆15Updated last year
- [NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting☆225Updated 3 months ago
- Neural Manifold Operators (KDD 2024)☆25Updated last year
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆79Updated 10 months ago
- Official code implementation for the ACL 2024 Student Research Workshop paper "In-Context Symbolic Regression: Leveraging Large Language …☆17Updated last year
- Official implementation of Diffusion Graph Networks (DGNs)☆77Updated 10 months ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆26Updated last year
- ICON for in-context operator learning☆60Updated 11 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆51Updated 2 years ago
- Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning☆40Updated last year
- Solving Inverse Physics Problems with Score Matching☆32Updated 2 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆54Updated 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
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆40Updated 11 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆38Updated last year
- ☆13Updated last year
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆73Updated 2 years ago
- ☆35Updated 5 years ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Updated last year
- About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…☆21Updated last year
- ☆53Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆26Updated 2 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 11 months ago
- Encoding physics to learn reaction-diffusion processes☆110Updated 2 years ago
- [ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Lan…☆209Updated 6 months ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 4 years ago
- Multiwavelets-based operator model☆69Updated 3 years ago
- [NeurIPS 24] Probablistic Emulation of a Global Climate Model with Spherical DYffusion☆30Updated 11 months ago