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 10 months ago
Alternatives and similar repositories for benchmarking-KAN
Users that are interested in benchmarking-KAN are comparing it to the libraries listed below
Sorting:
- Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""☆147Updated 10 months ago
- A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.☆35Updated 3 months ago
- ☆39Updated 2 years ago
- Research on Tabular Foundation Models☆52Updated 5 months ago
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆77Updated last year
- [ICLR 2025] TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation☆79Updated this week
- A repo for transfer learning with deep tabular models☆103Updated 2 years ago
- The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.☆62Updated 11 months ago
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆24Updated 3 months ago
- Codebase for information theoretic shapley values to explain predictive uncertainty.This repo contains the code related to the paperWatso…☆21Updated 11 months ago
- Code for paper: Are Large Language Models Post Hoc Explainers?☆31Updated 10 months ago
- MambaTab: A Plug-and-Play Model for Learning Tabular Data☆22Updated 11 months ago
- For calculating Shapley values via linear regression.☆68Updated 4 years ago
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆192Updated 3 months ago
- ☆25Updated 9 months ago
- The TABLET benchmark for evaluating instruction learning with LLMs for tabular prediction.☆21Updated 2 years ago
- A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"☆49Updated 11 months ago
- A framework for prototyping and benchmarking imputation methods☆183Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆57Updated 3 months ago
- Code for finetuning TabPFN on one downstream tabular dataset.☆59Updated 2 weeks ago
- [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction☆55Updated 10 months ago
- TemporAI: ML-centric Toolkit for Medical Time Series☆117Updated last year
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆73Updated this week
- Interpret text data using LLMs (scikit-learn compatible).☆165Updated 2 months ago
- Interaction Network Contextual Embedding☆16Updated 11 months ago
- Unified Model Interpretability Library for Time Series☆60Updated last month
- A benchmark for distribution shift in tabular data☆52Updated last year
- Time series explainability via self-supervised model behavior consistency☆48Updated last year
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆77Updated 2 weeks ago
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆96Updated last year