AILWQ / Joint_Supervised_Learning_for_SR
[ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression via joint supervised learning"
☆20Updated 4 months ago
Alternatives and similar repositories for Joint_Supervised_Learning_for_SR:
Users that are interested in Joint_Supervised_Learning_for_SR are comparing it to the libraries listed below
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆85Updated 3 years ago
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆16Updated 2 months ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆64Updated 3 months ago
- ☆28Updated 2 years ago
- SR based on LLMs.☆95Updated 2 years ago
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆43Updated 3 years ago
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆32Updated 11 months ago
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆21Updated last year
- [ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-t…☆51Updated 3 months ago
- Deep Generative Symbolic Regression Code☆22Updated last year
- ☆15Updated 10 months ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆70Updated last year
- A living benchmark framework for symbolic regression☆237Updated 3 months ago
- Pytorch implementation of Deep Symbolic Regression☆11Updated 3 years ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆40Updated 3 years ago
- Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"☆35Updated last year
- ☆11Updated 2 years ago
- Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning☆31Updated 2 months ago
- [ICLR 2024 Spotlight] SNIP on Symbolic Regression: Deep Symbolic Regression with Multimodal Pretraining☆17Updated 4 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…☆67Updated 3 months ago
- Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".☆17Updated 4 months ago
- Equation Learner, a neural network approach to symbolic regression☆77Updated 4 months ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆42Updated last year
- code of ICLR 2024 paper Reinforcement Symbolic Regression Machine☆12Updated last year
- Performing Symbolic Regression via Monte Carlo Tree Search (MCTS)☆12Updated 6 years ago
- MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://proceedings.neurips.cc/paper_files/pap…☆58Updated last month
- [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems☆31Updated last month
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆50Updated last year
- Bayesian Neural Network Surrogates for Bayesian Optimization☆48Updated 9 months ago