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Name: Superiority
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Name: Superiority
Type: User
ADD-GCN: Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition (ECCV 2020)
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper
pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"
Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".
Code release for Discriminative Adversarial Domain Adaptation (AAAI2020)
pytorch implementation of Domain-Adversarial Training of Neural Networks
Multiclass bearing fault classification using features learned by a deep neural network.
The deep residual shrinkage network is a variant of deep residual networks.
We introduce a way to extend sparse dictionary learning to deep architectures.
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.
Consistent dictionary learning algorithm for signal declipping (Python code)
DICTOL - A Dictionary Learning Toolbox in Matlab and Python
A Python implementation of well-known dictionary learning methods.
冈萨雷斯《数字图像处理matlab版》第二版
This repository collect some datasets for bearings and gearboxes
MATLAB codes for "Bearing fault diagnosis with frequency sparsity learning"
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
A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.
[TPAMI 2021] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339
Code for Online Graph Dictionary Learning
Gaussian mixture models in PyTorch.
This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)
Must-read papers on graph neural networks (GNN)
Code for thesis "Graph Dynamic Autoencoder for Fault Detection"
Graph regularized Restricted Boltzmann Machine, IEEE TNNLS'2018
Contains code to compare several health index construction methods using run-to-failure bearing dataset
Learning Sparse Neural Networks through L0 regularization
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.