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attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

bci-competition

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

deeplearningbook-chinese

Deep Learning Book Chinese Translation

dive_into_deep_learning

✔️李沐 【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。

ecml-pkdd_mmcnn

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

eeg-inception

Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing

emotion-recognition-papers

A list of papers for emotion recognition using machine learning/deep learning.

fbcnet

FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface

guide-rpc-framework

A custom RPC framework implemented by Netty+Kyro+Zookeeper.（一款基于 Netty+Kyro+Zookeeper 实现的自定义 RPC 框架-附详细实现过程和相关教程。）

learn-python3

Learn Python 3 Sample Code

lhy_dl_hw

lhy_machine_learning

李宏毅2021春季机器学习课程课件及作业

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

markdown-resume-template

BAT程序员自己的简历模板分享出来了 。技术简历追求简单明了，避免没有必要的花哨修饰，大家可以fork到自己仓库中，基于这个模板进行修改。

motor-imagery-papers

A list of papers for motor imagery using machine learning/deep learning.

read_bert_code

Bert源码阅读与讲解(Pytorch版本)-以BERT文本分类代码为例子

sleep-stages-classification-papers

A list of papers for sleep stages classification using machine learning/deep learning.

sst-emotionnet

SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

vision_transformer

vit-pytorch

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