EPFL-IMOS / Sym-QLinks
[Nature Communications 2025] Interactive Symbolic Regression through Offline Reinforcement Learning
☆27Updated last month
Alternatives and similar repositories for Sym-Q
Users that are interested in Sym-Q are comparing it to the libraries listed below
Sorting:
- [ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Lan…☆179Updated 2 months ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆78Updated 11 months ago
- [ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-t…☆58Updated last year
- SR based on LLMs.☆116Updated 2 years ago
- Library augmented Symbolic Regression in Julia☆27Updated last week
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆37Updated last year
- A living benchmark framework for symbolic regression☆275Updated last week
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆77Updated 2 years ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆102Updated last month
- TorchFSM: Fourier Spectral Method with PyTorch☆50Updated last week
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆56Updated 3 years ago
- Equation Learner, a neural network approach to symbolic regression☆83Updated last year
- ☆67Updated last year
- ☆12Updated 2 years ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆41Updated 4 years ago
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆53Updated 3 years ago
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆29Updated 4 months ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆81Updated 6 months ago
- Code and data for paper named: Large language models for automatic equation discovery of nonlinear dynamics☆12Updated 7 months ago
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆26Updated 2 years ago
- Dynamic causal Bayesian optimisation☆40Updated 2 years ago
- Learning Dynamical Systems that Generalize Across Environments☆20Updated 3 years ago
- Official code implementation for the ACL 2024 Student Research Workshop paper "In-Context Symbolic Regression: Leveraging Large Language …☆14Updated last year
- Deep Generative Symbolic Regression Code☆27Updated 2 years ago
- Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"☆92Updated 10 months ago
- Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning☆39Updated 10 months ago
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆60Updated last month
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆53Updated 2 years ago