samholt / DeepGenerativeSymbolicRegression
Deep Generative Symbolic Regression Code
☆23Updated last year
Alternatives and similar repositories for DeepGenerativeSymbolicRegression
Users that are interested in DeepGenerativeSymbolicRegression are comparing it to the libraries listed below
Sorting:
- SR based on LLMs.☆100Updated 2 years ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆88Updated 3 years ago
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆33Updated last year
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆46Updated 3 years ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆68Updated 6 months ago
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆21Updated last week
- ☆28Updated 2 years ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆73Updated 2 years ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆39Updated 4 years ago
- Equation Learner, a neural network approach to symbolic regression☆78Updated 7 months ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆41Updated 4 years ago
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆23Updated last year
- ☆19Updated 2 years ago
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago
- Performing Symbolic Regression via Monte Carlo Tree Search (MCTS)☆11Updated 6 years ago
- [ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-t…☆52Updated 6 months ago
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆19Updated 4 months ago
- A living benchmark framework for symbolic regression☆255Updated last week
- ☆47Updated this week
- ☆11Updated last year
- [ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Lan…☆121Updated last week
- Bayesian Neural Network Surrogates for Bayesian Optimization☆51Updated last year
- symbolic regression☆39Updated 2 years ago
- Library augmented Symbolic Regression in Julia☆22Updated 3 weeks ago
- Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …☆16Updated 4 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆11Updated 2 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆52Updated 2 years ago
- Optim4RL is a Jax framework of learning to optimize for reinforcement learning.☆25Updated 5 months ago
- Refining continuous-in-depth neural networks☆39Updated 3 years ago