twhughes / Symbolic-Regression
predicting equations from raw data with deep learning
☆55Updated 6 years ago
Alternatives and similar repositories for Symbolic-Regression:
Users that are interested in Symbolic-Regression are comparing it to the libraries listed below
- Equation Learner, a neural network approach to symbolic regression☆77Updated 5 months ago
- Blazing fast symbolic regresison☆76Updated 5 years ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆70Updated last year
- Simple Genetic Programming for Symbolic Regression in Python3☆25Updated 3 years ago
- a python 3 library based on deap providing abstraction layers for symbolic regression problems.☆94Updated 3 years ago
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆79Updated 5 years ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆39Updated 3 years ago
- ☆72Updated 4 years ago
- Implementation of a differentiable CGP (Cartesian Genetic Programming)☆110Updated 2 years ago
- Turning SymPy expressions into PyTorch modules.☆146Updated last year
- Code repository for Ensemble Bayesian Optimization☆52Updated 5 years ago
- Fast Genetic Programming☆11Updated 5 years ago
- UNIVR PDE course project and just for fun☆117Updated 7 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Updated 4 years ago
- Tensorflow implementation of equation learner☆31Updated 4 years ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Updated 3 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆74Updated 2 years ago
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆41Updated 3 years ago
- Code used for experiments in https://arxiv.org/abs/2008.08601☆19Updated 3 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆61Updated 4 years ago
- ☆30Updated 2 years ago
- Symbolic Regression using MCMC sampling☆26Updated 3 years ago
- ☆30Updated 4 years ago
- ☆50Updated 7 months ago
- Code to estimate Renormalized Mutual Information in simple settings☆12Updated 4 years ago
- Counting the number of conservation laws from trajectory data☆21Updated 4 years ago
- This repository contains implementations of some basic sampling methods in numpy.☆66Updated 4 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆33Updated 4 years ago
- Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP☆53Updated last year