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advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

arl-eegmodels

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

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

bendr

braindecode

Moved to https://github.com/TNTLFreiburg/braindecode!

chatgpt

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

chatgpt_academic

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

convnext

Code release for ConvNeXt model

da-hash

MatConvNet: CNNs for MATLAB

ddns

:triangular_flag_on_post: 自动更新域名解析到本机IP(支持dnspod,阿里DNS,CloudFlare,DNSCOM...)

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

early-stopping-pytorch

Early stopping for PyTorch

ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

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. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

eegnet

[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf

fieldtrip

The MATLAB toolbox for MEG, EEG and iEEG analysis

hello-world

jdda-master

Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation（AAAI-2019）

lmda-code

code for LMDA

ltsf-linear

This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"

mmd_loss.pytorch

A pytorch implementation of Maximum Mean Discrepancies(MMD) loss

pytorch-center-loss

Pytorch implementation of Center Loss

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-grad-cam

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

raw_data_time_frequency_fusion

salad

A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.

shadowrocket-adblock-rules

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。

softmax_variants

PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".