omron-sinicx / srsd-benchmarkLinks
[DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
☆35Updated 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.☆109Updated 2 years ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆75Updated 9 months ago
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆52Updated 3 years ago
- A living benchmark framework for symbolic regression☆269Updated 3 weeks ago
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆76Updated 2 years ago
- A paper describing the implementation of PySR and SymbolicRegression.jl☆58Updated last year
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆98Updated 4 years ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- Symbolic Regression using MCMC sampling☆29Updated 3 years ago
- symbolic regression☆40Updated 3 years ago
- ☆21Updated 10 months ago
- [ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-t…☆57Updated 10 months ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆80Updated 4 months ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆59Updated 10 months ago
- ☆110Updated 4 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 3 years ago
- Deep Generative Symbolic Regression Code☆26Updated last year
- Turning SymPy expressions into PyTorch modules.☆149Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- Equation Learner, a neural network approach to symbolic regression☆82Updated 11 months ago
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Bayesian algorithm execution (BAX)☆50Updated 3 years ago
- AI Hilbert is an algebraic geometric based discovery system (based on Putinar's Positivstellensatz), that enables the discovery of fundam…☆34Updated last year
- [Nature Communications 2025] Interactive Symbolic Regression through Offline Reinforcement Learning☆24Updated 3 months ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- Python bindings and scikit-learn interface for the Operon library for symbolic regression.☆54Updated 3 weeks ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆41Updated 4 years ago
- Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP☆54Updated last year