BillyTheKids-QRR

Awesome-Knowledge-Distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

ConvTransformerTimeSeries

Convolutional Transformer for time series

PaddleViT

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

FGDAE-a-machinery-fault-detection-method

一种用于复杂工况机械故障检测的GNN方法

SP_Lib

Signal processing method and algorithm library

AET

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

resources

A collection of resources for learning and research.

Complement-Cross-Entropy

Imbalanced Image Classification with Complement Cross Entropy (Pytorch)

HIT-dataset

This is a dataset of inter-shaft bearing based on the vibration signal of rotors and casings, which comes from a aero-engine test with inter-shaft bearing fault. Due to the large size of the data set file, we uploaded the dataset to Google Drive with the link as: https://drive.google.com/drive/folders/1Km1Go4ilB_bI033SBJ7eJ0uCzbqEqbgt?usp=sharing

URT

ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification

Loss_ToolBox-PyTorch

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

recall-semseg

cmo

pure-noise

Official implementation for "Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images" https://arxiv.org/abs/2112.08810

Holocron

PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne)

keras-unet-collection

The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

U-net

A Tensorflow implementation of Unet

GraphSmote

Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021

G2GNN

ROS

Rotation-based Open Set

easy-few-shot-learning

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

ProtoTransfer

Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

guided-diffusion

TaskMatrix

stable-diffusion

A latent text-to-image diffusion model

DSAN-CWRU

应用在CWRU上的DSAN

DSAN

SSDGL

SSDGL: A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification (TCYB2021) https://ieeexplore.ieee.org/document/9440852