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dxda

dynamic-convolution-pytorch

Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)

eadam-optimizer

Some improvements on Adam

ecanet

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

ecg-synthesis-and-classification

1D GAN for ECG Synthesis and 3 models: CNN, LSTM, and Attention mechanism for ECG Classification.

eelu

efficient-capsnet

Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".

efficientnet-pytorch

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fault-diagnosis

基于深度学习机械设备故障诊断模型

fault_diagnosis

基于深度学习的滚动轴承故障诊断方法

fault_diagnosis_cnn_pytorch

gans-for-1d-signal

implementation of several GANs with pytorch

gated-transformer-on-mts-1

使用改良的Transformer模型应用于多维时间序列的分类任务上

generative_adversarial_network_with_python

ghost_resnet56

ghostnet.pytorch

[CVPR2020] GhostNet: More Features from Cheap Operations

gramian-angular-field

hcgnet

[AAAI-2020] Official implementations of HCGNets: Gated Convolutional Networks with Hybrid Connectivity for Image Classification

hiddenlayer

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

improvedcnninfaultdiagnosis

jittor-mlp

Unofficial Implementation of MLP-Mixer, gMLP, resMLP, Vision Permutator, S2MLPv2, RaftMLP, HireMLP, ConvMLP, AS-MLP, SparseMLP, ConvMixer in Jittor and PyTorch! Now, Rearrange and Reduce in einops.layers.jittor are support!! trunc_normal_ is supported for Jittor!!

jl-cnn

The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.

keras

Deep Learning for humans

keras-attention

这个仓库主要包含了LSTM、卷积神经网络中，注意力机制的实现。

lightly

A python library for self-supervised learning on images.

limited-data-rolling-bearing-fault-diagnosis-with-few-shot-learning

This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

ma1dcnn

The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.

machinelearning

Basic Machine Learning and Deep Learning

metafd

The source codes of Meta-learning for few-shot cross-domain fault diagnosis.