dso-org / deep-symbolic-optimizationLinks
A deep learning framework for symbolic optimization.
☆661Updated 6 months ago
Alternatives and similar repositories for deep-symbolic-optimization
Users that are interested in deep-symbolic-optimization are comparing it to the libraries listed below
Sorting:
- A living benchmark framework for symbolic regression☆263Updated 2 months ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆93Updated 3 years ago
- SR based on LLMs.☆108Updated 2 years ago
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆757Updated last year
- ☆696Updated last year
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆75Updated 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…☆50Updated 3 years ago
- Equation Learner, a neural network approach to symbolic regression☆82Updated 9 months ago
- Deep Generative Symbolic Regression Code☆25Updated last year
- ☆30Updated 2 years ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆73Updated 8 months ago
- High-Performance Symbolic Regression in Python and Julia☆2,946Updated 2 weeks ago
- [JMLR (CCF-A)] PyPop7: A Pure-Python LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (from e…☆250Updated this week
- An open source python library for non-linear piecewise symbolic regression based on Genetic Programming☆34Updated last year
- C++ Large Scale Genetic Programming☆170Updated last month
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆41Updated 4 years ago
- Evolution Strategies in JAX 🦎☆642Updated last month
- Python bindings and scikit-learn interface for the Operon library for symbolic regression.☆54Updated last month
- Lagrangian Neural Networks☆504Updated last year
- A Bayesian optimization toolbox built on TensorFlow☆237Updated 3 weeks ago
- RILS-ROLS: Robust Symbolic Regression via Iterated Local Search and Ordinary Least Squares☆15Updated last month
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆22Updated 2 weeks ago
- ☆360Updated 3 years ago
- ☆200Updated 11 months ago
- Python library for CMA Evolution Strategy.☆435Updated 2 weeks ago
- ☆175Updated 2 years ago
- Code for our paper "Hamiltonian Neural Networks"☆475Updated 4 years ago
- neural networks to learn Koopman eigenfunctions☆422Updated last year
- Numerical Black-Box Optimization Benchmarking Framework☆280Updated 6 months ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆221Updated 8 months ago