A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain, and slides.

Model Radar for Performance Analysis

Implementation of GraphKan with torch geometrics and its application on signal classification

Code and experiments related to the paper: 'Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference'

Repository for the paper "Transformer Conformal Prediction for Time Series"

Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples

Combine B-Spline (BS) and Radial Basic Function (RBF) in Kolmogorov-Arnold Networks (KANs)

This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kern…

Official repository of the xLSTM.

Kolmogorov-Arnold Networks in Mojo

some algorithms to detect trend in timeseries written on Python

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

KAN for Vision Transformer

This repository demonstrates the application of efficient Kolmogorov-Arnold Networks (KAN) in a regression (curve fitting) task.

Fast Convolutional KAN

Benchmark for efficiency in memory and time of different KAN implementations.

Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)" (ICML 2024)

The practitioner's forecasting library

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learna…

A course on Optimization Methods

This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.

Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.

Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.

Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.

Kaggle competition to create a regression model having the narrowest (most "efficient") overall prediction intervals

A comprehensive collection of HRV-related resources, including libraries, datasets, tutorials, papers, and more, for researchers and developers in the Heart Rate Variability field.