Python implementation of Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis

The implementation of "Mixup Induced Domain Extrapolation for Domain Generalization"

[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training

The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"

A list of all public EEG-datasets

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

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…

Code for "Is Mamba Effective for Time Series Forecasting?"

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。