vpredictor Goto Github PK

acmix

Official repository of ACmix (CVPR2022)

acrnn

EEG-based Emotion Recognition via Channel-wise Attention and Self Attention

advanced-go-programming-book

:books: 《Go语言高级编程》开源图书，涵盖CGO、Go汇编语言、RPC实现、Protobuf插件实现、Web框架实现、分布式系统等高阶主题(完稿)

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

bytedance

字节跳动训练营项目

cdal

contrastive-adaptation-network-for-unsupervised-domain-adaptation

pytorch implementation for Contrastive Adaptation Network

covi

Contrastive Vicinal Space for Unsupervised Domain Adaptation (ECCV 2022)

cpptemplatetutorial

中文的C++ Template的教学指南。与知名书籍C++ Templates不同，该系列教程将C++ Templates作为一门图灵完备的语言来讲授，以求帮助读者对Meta-Programming融会贯通。(正在施工中)

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

deep-learning-based-emotion-recognition

Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN

deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals

Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical data were collected on StonyBrook Social Competence Treatment Lab, for data request evaluation please contact professor Matthew D. Lerner [email protected]

deep-neural-network-transfer-learning-eeg-meg-

domaingapevaluation

ecml-pkdd_mmcnn

MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification

eeg-adapt

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

eeg-dl

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

eeg-emotion-classification

eeg-transformer

i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

eeg2image-based-denoised-convnets

eeg_emotion_classifier_deap

EEG Emotion classification using the DEAP pre-processed data

eeglearn-pytorch

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

gan-ad

We used generative adversarial networks (GANs) to do anomaly detection for time series data.

go

Algorithms Implemented in GoLang

go-1

【Go 从入门到实战】学习笔记，从零开始学 Go、Gin 框架，基本语法包括 26 个Demo，Gin 框架包括：Gin 自定义路由配置、Gin 使用 Logrus 进行日志记录、Gin 数据绑定和验证、Gin 自定义错误处理、Go gRPC Hello World... 持续更新中...

go-by-example

go-pprof-practice

go pprof practice.

go-programming-tour-book