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Code for LGP-VEC: A Vectorial Linear Genetic Programming for Symbolic Regression
Meta-learning approach for human-interpretable formulas generation
[NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
[ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression via joint supervised learning"
Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
a distributed Hyperband implementation on Steroids
A deep learning framework for symbolic optimization.
Grouped feature importance and selection with random forests
RobustmRMR: a ensemble framework based on mRMR for feature selection. RedundancyThresholdSurv: group features and select one feature with the best performance from each group
Bilevel Learning of the Group Lasso Structure
For my final year Project I have attempted to apply the OSCAR to a logistical regression model. This code is a modified code that was used for the paper " Simultaneous Regression Shrinkage, Variabl…
This is code for paper published in neurips 2020
Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In this work, we present SymbolicGPT, a novel transformer-base…
Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
Source code and Dataset creation for the paper "A Seq2Seq approach to Symbolic Regression"
This repo contains the PyTorch implementation of the SNAS-Series papers
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
Pytorch implementation of Deep Symbolic Regression
Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples
Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.
A More Fair and Comprehensive Comparison between KAN and MLP
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).