intell-sci-comput / PSELinks
Official PyTorch implementation of PSE/PSRN: Fast and efficient symbolic expression discovery through parallelized symbolic enumeration. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.
☆23Updated 4 months ago
Alternatives and similar repositories for PSE
Users that are interested in PSE are comparing it to the libraries listed below
Sorting:
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆19Updated 4 months ago
- ☆24Updated 5 months ago
- ☆31Updated 2 years ago
- code of ICLR 2024 paper Reinforcement Symbolic Regression Machine☆13Updated last year
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- ☆16Updated last year
- Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning☆39Updated 11 months ago
- ICON for in-context operator learning☆59Updated 8 months ago
- Experiment with Neural ODE on Pytorch☆14Updated 6 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆77Updated 2 years ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Updated last year
- SR based on LLMs.☆119Updated 3 years ago
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆34Updated 3 years ago
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆48Updated 2 months ago
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆14Updated last year
- ☆39Updated 2 months ago
- Implementation of Rational Kolmogorov-Arnold Network (rKAN)☆17Updated last year
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆62Updated 2 months ago
- ☆18Updated last year
- Code and data for paper: Learning interpretable dynamics of stochastic complex systems from experimental data☆22Updated 3 weeks ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated 2 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 8 months ago
- ☆13Updated last year
- Tackling the Curse of Dimensionality with Physics-Informed Neural Networks☆14Updated last year
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆75Updated 7 months ago
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)☆15Updated last year
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆35Updated last year
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated 11 months ago