vastlik / symformerLinks
☆31Updated 2 years ago
Alternatives and similar repositories for symformer
Users that are interested in symformer are comparing it to the libraries listed below
Sorting:
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆103Updated 2 months ago
- SR based on LLMs.☆119Updated 3 years ago
- A living benchmark framework for symbolic regression☆277Updated 3 weeks ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆78Updated last year
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆77Updated 2 years ago
- ☆12Updated 2 years ago
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆37Updated last year
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆53Updated 3 years ago
- Deep Generative Symbolic Regression Code☆27Updated 2 years ago
- Equation Learner, a neural network approach to symbolic regression☆84Updated last year
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆19Updated 4 months ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆42Updated 4 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆26Updated 2 years ago
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆24Updated 4 months ago
- A deep learning framework for symbolic optimization.☆689Updated 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…☆58Updated last year
- Performing Symbolic Regression via Monte Carlo Tree Search (MCTS)☆13Updated 7 years ago
- Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning☆39Updated 11 months ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆59Updated last year
- [ICLR 2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data☆58Updated 2 months ago
- ☆69Updated last year
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Using Machine Learning to Predict Extreme Events in Complex Systems☆14Updated 5 years ago
- Official PyTorch implementation of PSE/PSRN: Fast and efficient symbolic expression discovery through parallelized symbolic enumeration. …☆23Updated 4 months ago
- code of ICLR 2024 paper Reinforcement Symbolic Regression Machine☆13Updated last year
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆81Updated 7 months ago
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- [Nature Communications 2025] Interactive Symbolic Regression through Offline Reinforcement Learning☆28Updated 2 months ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆63Updated 4 years ago