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assc

End-to-end Sleep Staging with Raw Single Channel EEG

attention-augmented-conv2d

Implementing Attention Augmented Convolutional Networks using Pytorch

cadlab

Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

candock

尝试多种不同的深度神经网络结构(如LSTM,RESNET,DFCNN等)对单通道EEG进行自动化睡眠阶段分期.我们相信这些代码同时可以用于其他生理信号(如ECG,EMG等)的分类.希望这将有助于您的研究.

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cvpr-2021-papers

cvpr2023-papers-with-code

CVPR 2023 论文和开源项目合集

d2l-zh

《动手学深度学习》

eeg-to-action

Deep Learning applied to classifying intentional arm movements from brain activities.

electronbot

exercise

exercise for nndl

feature-selection-mrmr

Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)

finding_common_object

gcnet

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

gitwork

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。

hello-word

Come on !

javacnn

A Java implement of Convolutional Neural Network.

javafamily

【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

labuladong_algorithm

labuladong的算法小抄

linuxxine

linux备份

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

no-os

Software drivers in C for systems without an operating system

numpy-ml

Machine learning, in numpy

octaveconv

A MXNet Implementation for Drop an Octave

paddlehub

Toolkit for Pre-trained Model Application of PaddlePaddle（『飞桨』预训练模型应用工具 ）

picturefusion.github.io

practicalai

A practical approach to learning machine learning.

rocalphago

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.