samholt / DeepGenerativeSymbolicRegressionLinks
Deep Generative Symbolic Regression Code
☆26Updated 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.☆109Updated 2 years ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆98Updated 4 years ago
- A living benchmark framework for symbolic regression☆269Updated 3 weeks ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆75Updated 9 months ago
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆24Updated last month
- 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
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆35Updated last year
- ☆12Updated last year
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆76Updated 2 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆44Updated 4 years ago
- ☆30Updated 2 years ago
- A deep learning framework for symbolic optimization.☆675Updated 7 months ago
- [ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Lan…☆159Updated 3 weeks ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years 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
- ☆50Updated 3 years ago
- Performing Symbolic Regression via Monte Carlo Tree Search (MCTS)☆12Updated 6 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆55Updated last year
- Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …☆16Updated 4 years ago
- Equation Learner, a neural network approach to symbolic regression☆82Updated 11 months ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆41Updated 4 years ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆54Updated last year
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆42Updated last year
- Neuroevolution Benchmark in JAX 🦕☆39Updated last year
- ☆45Updated 4 years ago
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- ☆53Updated 2 months ago
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago
- ☆110Updated 4 years ago
- code for BINOCULARS and Multi-Step BO☆12Updated 4 years ago