chocalatewzlh Goto Github PK

add-gcn

ADD-GCN: Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition (ECCV 2020)

asl

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

cmc

pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

convrnn_for_rul_estimation

Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".

dada-aaai2020

Code release for Discriminative Adversarial Domain Adaptation (AAAI2020)

dann

pytorch implementation of Domain-Adversarial Training of Neural Networks

data_driven_features_ims

Multiclass bearing fault classification using features learned by a deep neural network.

deep-residual-shrinkage-networks

The deep residual shrinkage network is a variant of deep residual networks.

deep-sparse

We introduce a way to extend sparse dictionary learning to deep architectures.

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dictionary_learning_for_declipping_python

Consistent dictionary learning algorithm for signal declipping (Python code)

dictol

DICTOL - A Dictionary Learning Toolbox in Matlab and Python

dictol_python

A Python implementation of well-known dictionary learning methods.

digital-image-processing

冈萨雷斯《数字图像处理matlab版》第二版

fault-dataset-collection

This repository collect some datasets for bearings and gearboxes

fault_frequency_learning

MATLAB codes for "Bearing fault diagnosis with frequency sparsity learning"

federated-transfer-learning-for-eeg

This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society July 20-24, 2020 via the EMBS

few-shot

A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.

gdcan

[TPAMI 2021] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339

gdl

Code for Online Graph Dictionary Learning

gmm-torch

Gaussian mixture models in PyTorch.

gnn_few_shot_cifar100

This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)

gnnpapers

Must-read papers on graph neural networks (GNN)

good

graph-dynamic-autoencoder

Code for thesis "Graph Dynamic Autoencoder for Fault Detection"

graphrbm

Graph regularized Restricted Boltzmann Machine, IEEE TNNLS'2018

hiconstruct_optimize

Contains code to compare several health index construction methods using run-to-failure bearing dataset

l0_regularization

Learning Sparse Neural Networks through L0 regularization

lili

mcd_da