mzqolive

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

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

mzqolive/Advanced-Deep-Learning-with-Keras

Advanced Deep Learning with Keras, published by Packt

mzqolive/awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

mzqolive/awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

mzqolive/BENDR

mzqolive/braindecode

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

mzqolive/ChatGPT

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

mzqolive/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

mzqolive/ConvNeXt

Code release for ConvNeXt model

mzqolive/vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

mzqolive/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...)

mzqolive/early-stopping-pytorch

Early stopping for PyTorch

mzqolive/ECANet

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

mzqolive/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.

mzqolive/fieldtrip

The MATLAB toolbox for MEG, EEG and iEEG analysis

mzqolive/hello-world

mzqolive/JDDA-Master

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

mzqolive/LMDA-Code

code for LMDA

mzqolive/LTSF-Linear

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

mzqolive/pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

mzqolive/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

mzqolive/raw_data_time_frequency_fusion

mzqolive/salad

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

mzqolive/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。

mzqolive/Swin-Transformer

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

mzqolive/Transfer-Learning-Toolkit

Transfer Learning Toolkit for Primary Researchers

mzqolive/transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

mzqolive/TSception

PyTorch implementation of TSception v2

mzqolive/TSFF

mzqolive/understanding-transfer-learning

mzqolive/vision

Datasets, Transforms and Models specific to Computer Vision