eleonorapoeta / benchmarking-KANLinks
This repository contains the official implementation of "A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data" (under review). You can use this codebase to replicate our experiments about benchmarking KAN networks on some of the most used real-world tabular datasets.
☆17Updated last year
Alternatives and similar repositories for benchmarking-KAN
Users that are interested in benchmarking-KAN are comparing it to the libraries listed below
Sorting:
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆26Updated 10 months ago
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆206Updated 2 months ago
- Resources for Machine Learning Explainability☆86Updated last year
- ☆22Updated last year
- Uncertainty-aware classification.☆17Updated 3 years ago
- Research on Tabular Foundation Models☆67Updated last year
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆89Updated last year
- Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""☆181Updated last year
- [ICLR 2025] TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation☆127Updated 7 months ago
- A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"☆56Updated last year
- Codebase for information theoretic shapley values to explain predictive uncertainty.This repo contains the code related to the paperWatso…☆22Updated last year
- Official code for "STaSy: Score-based Tabular data Synthesis", ICLR 2023☆34Updated 2 years ago
- This is a curated list of research on diffusion models for tabular data, and serves as the official repository for the survey paper "Diff…☆66Updated 2 months ago
- TemporAI: ML-centric Toolkit for Medical Time Series☆126Updated 2 years ago
- A framework for prototyping and benchmarking imputation methods☆194Updated 2 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆150Updated 3 years ago
- Official GitHub for CTAB-GAN+☆84Updated last year
- The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.☆68Updated last year
- ☆26Updated last year
- ☆38Updated 2 years ago
- Code for finetuning TabPFN on one downstream tabular dataset.☆83Updated 3 months ago
- ☆11Updated last year
- A curated list of resources dedicated to Positive Unlabeled(PU) learning ML methods.☆37Updated 3 years ago
- Interpretable ML for TabPFN☆45Updated 5 months ago
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆110Updated 5 months ago
- CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis☆37Updated 3 months ago
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆21Updated 6 months ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆176Updated last year
- ☆13Updated 7 months ago
- Dataset and modelling infrastructure for modelling "event streams": sequences of continuous time, multivariate events with complex intern…☆116Updated 6 months ago