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Advanced Deep Learning with Keras, published by Packt
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
This repo includes ChatGPT prompt curation to use ChatGPT better.
A collection of AWESOME things about domian adaptation
Moved to https://github.com/TNTLFreiburg/braindecode!
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
科研工作专用ChatGPT拓展,特别优化学术Paper润色体验,支持自定义快捷按钮,支持自定义函数插件,支持markdown代码块表格显示,Tex公式双显示,新增Python/C++项目剖析/自译解功能,PDF/LaTex论文翻译/总结功能,兼容ChatGLM等本地模型
Code release for ConvNeXt model
MatConvNet: CNNs for MATLAB
:triangular_flag_on_post: 自动更新域名解析到本机IP(支持dnspod,阿里DNS,CloudFlare,DNSCOM...)
A collection of implementations of deep domain adaptation algorithms
Early stopping for PyTorch
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
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. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.
[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf
The MATLAB toolbox for MEG, EEG and iEEG analysis
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation(AAAI-2019)
code for LMDA
This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"
A pytorch implementation of Maximum Mean Discrepancies(MMD) loss
Pytorch implementation of Center Loss
Pytorch implementation of convolutional neural network visualization techniques
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.
提供多款 Shadowrocket 规则,带广告过滤功能。用于 iOS 未越狱设备选择性地自动翻墙。
PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
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.