ehauckdo / mcts-regressorLinks
Performing Symbolic Regression via Monte Carlo Tree Search (MCTS)
☆12Updated 6 years ago
Alternatives and similar repositories for mcts-regressor
Users that are interested in mcts-regressor are comparing it to the libraries listed below
Sorting:
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago
- SR based on LLMs.☆109Updated 2 years ago
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆35Updated last year
- [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
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆75Updated 9 months ago
- A living benchmark framework for symbolic regression☆269Updated 3 weeks ago
- Deep Generative Symbolic Regression Code☆26Updated last year
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆59Updated 11 months ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆98Updated 4 years ago
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆67Updated 2 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- ☆30Updated 2 years ago
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆24Updated last month
- Pytorch implementation of Deep Symbolic Regression☆11Updated 3 years ago
- Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation☆95Updated 3 years ago
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆24Updated 2 years ago
- ☆45Updated 4 years 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
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆76Updated 2 years ago
- ☆12Updated last year
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆44Updated 4 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]☆15Updated 4 years ago
- ☆53Updated 2 months ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆54Updated last year
- Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…☆23Updated 2 months ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Updated 2 years ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆42Updated 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…☆165Updated 3 weeks ago