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-dadnn-for-bearing-fault-diagnosis

1d-cnn-for-cwru

1D CNN for CWRU rolling bearings dataset

1dcnn_fault_detection

1DCNN Fault Detection（1DCNN的轴承故障诊断）

a-new-convolutional-neural-network-based-data-driven-fault-diagnosis-method

TensorFlow implementation of a CNN based mechanical science paper

adversarial-attack-on-machinery-fault-diagnosis

The code for http://arxiv.org/abs/2110.02498

ai-for-keras

本系列代码主要是作者Python人工智能之Keras的系列博客，涉及回归神经网络、CNN、RNN、LSTM等内容。基础性代码，希望对您有所帮助。

attention-module

深度学习 注意力机制模块 时间 空间注意力通道

audioclassification

Audio MNIST Classification using 1D-CNN, 2D-CNN, GAN+2D-CNN, CVN+RandomForest, and LSTMs.

autoencoder

个人练习，自编码器及其变形（理论+实践）

awesome_lightweight_networks

MobileNetV1-V3, GhostNet，AdderNet，ShuffleNetV1-V2, MobileNeXt.

basic_cnns_tensorflow2

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

brdnet

Image denoising using deep CNN with batch renormalization(Neural Networks,2020)

ceit-pytorch

Implementation of Convolutional enhanced image Transformer

classic-convolution-network

里面会保存许多优秀的卷积神经网络结构，这些结构可以帮助我们更好的设计网络。

classification-pytorch

这是各个主干网络分类模型的源码，可以用于训练自己的分类模型。

cnn_keras

CNN implementation in Keras

cnn_traffic_data

use cnn, lstm and sae nets to classify the traffic data

coatnet-pytorch

A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes".

code-show

R Python Matlab SQL

conditional-wgan-gp

PyTorch implementation for Conditional Wasserstein Generative Adversarial Networks with Gradient Penalty .

cv-backbones

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

cvpr2021-paper-code-interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

dagcn

This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deformable-multi-attention-convolutional-neural-network

基于可变形卷积和注意力机制的滚动轴承故障诊断

deit

Official DeiT repository

diagnosis_of_rotating_machinery

基于无监督和迁移学习的旋转机械故障诊断

divide-and-co-training

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

dlss

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.