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meta-transfer-learning

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-transformer-for-rul-prediction

Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

rotating-machine-fault-data-set

Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)

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

sawd_gcvs

Sparsity-assisted wavelet denoising for gait cycle validation and segmentation using inertial sensors.

sdnet

An official codebase of paper "Revisiting Sparse Convolutional Model for Visual Recognition"

sparsegdlibrary

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

sparsescatnet

Code implementation of paper: Deep Network Classification by Scattering and Homotopy Dictionary Learning

ssld-face_recognition

Robust Single Sample Face Recognition by Sparsity-Driven Sub-Dictionary Learning Using Deep Features

sst_compare

A comparison of serveral localized time-frequency transforms

supplementary-dataset

This is the original dataset that we use in our research work, but it may difficult to find in the original link.

tfocs

A MATLAB toolbox for building first-order solvers for convex models.

time_frequency

时频分析 + 时变阶分数傅立叶变换普 + 时变滤波 相关的毕业设计课题全部代码和论文+PPT，供各位通信、电子信息工程等相关学弟学妹参考。

udtl_multi_domain

Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))

veri_ssml_fd

Unsupervised Vehicle Re-Identification via Self-Supervised Metric Learning using Feature Dictionary

waveletfcnn

Source code and dataset for the paper ""

weibull-knowledge-informed-ml

Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).

wwww.github.io

zs_sdl

Official Pytorch Implementation of: "Semantic Diversity Learning for Zero-Shot Multi-label Classification"(ICCV, 2021) paper