omron-sinicx / srsd-benchmarkLinks
[DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
☆37Updated last year
Alternatives and similar repositories for srsd-benchmark
Users that are interested in srsd-benchmark are comparing it to the libraries listed below
Sorting:
- SR based on LLMs.☆124Updated 3 years ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆78Updated last year
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆55Updated 4 years ago
- A living benchmark framework for symbolic regression☆284Updated last month
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆104Updated 3 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
- ☆31Updated 2 years ago
- symbolic regression☆40Updated 3 years ago
- A paper describing the implementation of PySR and SymbolicRegression.jl☆64Updated last year
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago
- ☆22Updated last year
- Equation Learner, a neural network approach to symbolic regression☆84Updated last year
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 3 years ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆77Updated 2 years ago
- Python bindings and scikit-learn interface for the Operon library for symbolic regression.☆59Updated 3 weeks ago
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- Deep Generative Symbolic Regression Code☆27Updated 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…☆190Updated 4 months ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆55Updated 4 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆41Updated 2 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆81Updated 7 months ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆42Updated 4 years ago
- Symbolic Regression using MCMC sampling☆29Updated 3 years ago
- ☆19Updated 3 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 3 years ago
- Turning SymPy expressions into PyTorch modules.☆153Updated 2 years ago
- ☆112Updated 4 years ago
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆21Updated 3 weeks ago
- A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium☆21Updated 4 years ago