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acon

Official Repsoitory for "Activate or Not: Learning Customized Activation." [CVPR 2021]

adamp

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)

aet---transformer-

Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

anomalib--

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

attention-mechanisms-paper

注意力机制on自然语言处理文章整理笔记

awesome_deep_learning_interpretability

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

capsule-network-for-fault-diagnosis

Capsule network for fault diagnosis （胶囊网络用于故障诊断）

captum

Model interpretability and understanding for PyTorch

code

deep-residual-shrinkage-networks-for-intelligent-fault-diagnosis-drsn-

Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis（pytorch） 深度残差收缩网络应用于故障诊断

dfedtl-recommended-by-zhengyu-du

Discriminative Fisher Embedding Dictionary Transfer Learning

dgfdbenchmark---

This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis

dl-based-intelligent-diagnosis-benchmark

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

dlcnn-for-bearing-dignosis-based-on-mcs

1 提出了一种新的相似度损失(SimL)，用于增大类间差异同时减小类内差异；2 SimL+CE优化CNN；3 基于电信号诊断轴承故障

entropy-theory

转自李永波老师的代码

external-attention-pytorch

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

fault-diagnosis-for-small-samples-based-on-attention-mechanism

基于注意力机制的少量样本故障诊断 pytorch

few-shot-transfer-learning

Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine-元学习程序（志超推荐）

fewshot-egnn---

gan-network-library-tensorflow

八种最常用的GAN生成式对抗网络代码框架

gnn-algorithms

图神经网络相关算法详述及实现

gnn_fd

基于图神经网络的机械故障诊断

gnn_note

图神经网络整理

gridmask

haidong_shao

The intelligent fault diagnosis methods of HNU IDG

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

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

machine-deep-learning

:wave: ML/DL学习笔记（基础+论文）

metafd--

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