liguge

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

PKT-MCNN

Robustness-Enhancement-of-Machine-Fault-Diagnostic-Models

Adv-IFD-Adversarial-Attack-Datasets-For-An-Intelligent-Fault-Diagnosis

Awesome-Weak-Shot-Learning

FSL

few-shot learning experiments

Graph-Dynamic-Autoencoder

Code for thesis "Graph Dynamic Autoencoder for Fault Detection"

barlowtwins

PyTorch implementation of Barlow Twins.

convmixer

CV-Backbones

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

DASMN

The PyTorch version for 'Domain-adversarial similarity-based meta-learning network'.

EfficientDNNs

Collection of recent methods on DNN compression and acceleration

GNGAN-PyTorch

Official implementation for Gradient Normalization for Generative Adversarial Networks

invariance-equivariance

"Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (CVPR 2021)

involution

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

MetaFD

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

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

NLP-Conferences-Code

NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)

PCS-FUDA

Official implementation of PCS in essay "Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation"

PHM-XAI-PRISMA-Systematic-Review

Files for "Explainable AI (XAI) for PHM of Industrial Asset: A State-of-The-Art, PRISMA - Compliant Systematic Review"

PiSL

A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.

pywt

PyWavelets - Wavelet Transforms in Python

RankSortLoss

Official PyTorch Implementation of Rank & Sort Loss [ICCV2021]

RUL-prediction-using-attention-based-deep-learning-approach

SSMN

The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.

torch-dct

DCT (discrete cosine transform) functions for pytorch

Transfer_Learning_Bearing_Fault

TS-CAM

Codes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.

typoraCracker

A patch and keygen tools for typora.

UDTL_Lable_Inconsistent