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Code for the paper "Adversarial Data Augmentation Network for Speech Emotion Recognition" and "Improving Speech Emotion Recognition with Adversarial Data Augmentation Network".
Invariant representation learning from EEG within discriminative CNN architectures via adversarial censoring.
Code of "Enhancing transfer performance across datasets for brain-computer interfaces using a combination of alignment strategies and adaptive batch normalization"
A Library of Datasets and Algorithms for Brain-Computer Interface
Deep learning software to decode EEG or MEG signals
Cross-domain disentanglement network
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.
Disentangled Synthesis for Domain Adaptation
disentanglement_lib is an open-source library for research on learning disentangled representations.
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.
Pytorch implementation of Domain Separation Networks
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.
Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".
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".
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
For evaluating spatial fidelity of M/EEG source estimates
codes for Heuristic Domain Adaptation (NeurIPS2020)
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)
The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)
mixup: Beyond Empirical Risk Minimization
Models built with TensorFlow
Optimized primitives for collective multi-GPU communication
A list of papers for physiological signal classification using machine learning/deep learning.
Fuck you gitkraken
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 - Official PyTorch Implementation (CVPR 2020)
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.