deep-symbolic-mathematics / Multimodal-Symbolic-RegressionLinks
[ICLR 2024 Spotlight] SNIP on Symbolic Regression: Deep Symbolic Regression with Multimodal Pretraining
☆18Updated 7 months ago
Alternatives and similar repositories for Multimodal-Symbolic-Regression
Users that are interested in Multimodal-Symbolic-Regression are comparing it to the libraries listed below
Sorting:
- [ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-t…☆52Updated 7 months ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆69Updated 7 months ago
- [ICML2025 Spotlight] LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models☆27Updated 3 weeks ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆32Updated 11 months ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆25Updated 2 years ago
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆21Updated 3 weeks ago
- [ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Lan…☆132Updated last month
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆24Updated last year
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆26Updated 2 months ago
- SR based on LLMs.☆105Updated 2 years ago
- Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning☆35Updated 5 months ago
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆24Updated last year
- ☆28Updated 2 years ago
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆19Updated 5 months ago
- Code and data for paper named: Large language models for automatic equation discovery of nonlinear dynamics☆10Updated 3 months ago
- ☆21Updated last year
- ☆11Updated last year
- ☆17Updated last year
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆21Updated 2 years ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆14Updated 9 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆45Updated 2 years ago
- code of ICLR 2024 paper Reinforcement Symbolic Regression Machine☆13Updated last year
- ICON for in-context operator learning☆53Updated 3 months ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆52Updated 2 years ago
- Deep Generative Symbolic Regression Code☆24Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆44Updated last year
- ☆15Updated 5 years ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Updated 10 months ago
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆16Updated last year