yongjiezhu

PyHealth

A Deep Learning Python Toolkit for Healthcare Applications.

manifold_learning_fmri

Codigo asociado con el manuscrito: "Manifold learning for fMRI time-varying functional connectivity" publicado en Frontiers in Human Neuroscience

torcheeg

TorchEEG is a library built on PyTorch for EEG signal analysis.

GrangerCausality

MATLAB module for assessing the causal links between time series

STSVAR

Structural Vector Autoregression with Smoth Transition in Variances

armagarch

ARMA-GARCH

DCC-GARCH

DCC GARCH modeling in Python

leap

LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.

slow_disentanglement

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

speechmodeltutorial

neural-nlp

[PNAS'21] The neural architecture of language: Integrative modeling converges on predictive processing

brain-age-benchmark-paper

M/EEG brain age benchmark paper

manuscript-templates

LaTeX templates for manuscripts. bioRxiv preprint and journal submission templates. For use on Overleaf.

Cam-CAN-preprocessing

Preprocessing of Cam-CAN's MEG/EEG data

UnsupervisedScalableRepresentationLearningTimeSeries

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

TNC_representation_learning

TS-TCC

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

stagin

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

cheatsheets

Official Matplotlib cheat sheets

DenseCL

Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.

Multi-Task-Learning-PyTorch

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

dl-eeg-tutorial

Hands-on tutorial on deep learning for EEG classification.

Awesome-Deep-Learning-Based-Time-Series-Forecasting

AND

Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery

Pytorch-NCE

The Noise Contrastive Estimation for softmax output written in Pytorch

dyconnmap

A dynamic connectome mapping module in python.

PRML

PRML algorithms implemented in Python

TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos