qiaosun22 / AwesomePhysicsInformedLLMsLinks
Tracing the most recent advances in Physics Informedd LLMs.
☆34Updated last year
Alternatives and similar repositories for AwesomePhysicsInformedLLMs
Users that are interested in AwesomePhysicsInformedLLMs are comparing it to the libraries listed below
Sorting:
- ☆18Updated last year
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆65Updated 5 months ago
- Agent-based LLM modeling of mechanics problems☆38Updated last year
- [ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-t…☆57Updated last year
- Kolmogorov-Arnold Networks with various basis functions like B-Splines, Fourier, Chebyshev, Wavelets etc☆36Updated last year
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 3 years ago
- ☆24Updated 7 months ago
- ☆16Updated last year
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆37Updated last year
- Differential equation neural operator☆22Updated 2 years ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆32Updated 2 months ago
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆42Updated 2 years ago
- Code for Lie Symmetries SSL paper☆23Updated 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
- ICON for in-context operator learning☆60Updated 11 months ago
- [ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Lan…☆208Updated 6 months ago
- ☆107Updated 9 months ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆82Updated last year
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆54Updated 3 years ago
- Conversational agents for engineering simulations with minimal human input using Microsoft AutoGen & GPT-4o.☆40Updated last year
- ☆41Updated 4 months ago
- About Code release for “RoPINN: Region Optimized Physics-Informed Neural Networks” (NeurIPS 2024), https://arxiv.org/abs/2405.14369☆59Updated 6 months ago
- ☆35Updated 2 years ago
- ☆13Updated last year
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆27Updated last year
- A carefully curated collection of high-quality libraries, projects, tutorials, research papers, and other essential resources focused on …☆49Updated this week
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆52Updated 3 years ago
- ☆10Updated last year
- ☆23Updated last week
- ☆56Updated 8 months ago