Code Repository for "Applying Probabilistic Programming to Affective Computing"

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

Time series explainability via self-supervised model behavior consistency

[NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."

Graph Neural Networks for Irregular Time Series

Multivariate Time Series Transformer, public version

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

Parallelized Mutual Information based Feature Selection module.

A unified framework for machine learning with time series

A set of useful machine learning libraries written by me

An implementation for image (tensor) morphological dilation2d and erosion2d in pytorch

The implementation of 3D-UNet using PyTorch

3D U-Net model for volumetric semantic segmentation written in pytorch

implementation of 3DUNet by PyTorch 1.0

A toy example of VAE-regression network

Multi-study decoding models for task functional MRI data.