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adan

Code for the paper "Adversarial Data Augmentation Network for Speech Emotion Recognition" and "Improving Speech Emotion Recognition with Adversarial Data Augmentation Network".

adversarialeegdecoding

Invariant representation learning from EEG within discriminative CNN architectures via adversarial censoring.

alignment-methods-and-adabn

Code of "Enhancing transfer performance across datasets for brain-computer interfaces using a combination of alignment strategies and adaptive batch normalization"

brainda

A Library of Datasets and Algorithms for Brain-Computer Interface

braindecode

Deep learning software to decode EEG or MEG signals

cross-domain-disen

Cross-domain disentanglement network

deepeegdataaugmentation

Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation including intentionally imbalancing a dataset, and appending modified data to the training set.

dida

Disentangled Synthesis for Domain Adaptation

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

disentanglement_tutorial

This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and serves as a roadmap for the disentanglement aficionados.

dsn

Pytorch implementation of Domain Separation Networks

ece-c247-eeg-gan

GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks and Deep Learning course.

eeg-adapt

Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".

eeg-gan

eeg_inverse_solutions

emotionalconversionstargan

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

esi-dae

esinet

EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your MNE-based M/EEG code

evaler

For evaluating spatial fidelity of M/EEG source estimates

hda

codes for Heuristic Domain Adaptation (NeurIPS2020)

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

m-ada

The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

models

Models built with TensorFlow

nccl

Optimized primitives for collective multi-GPU communication

physiological-signal-classification-papers

A list of papers for physiological signal classification using machine learning/deep learning.

publicgit

Fuck you gitkraken

skills

个人的技能树仓库，包含一些个人学习的笔记以及开发项目

stargan-v2

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

transfer-learning-library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization