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Spike sorting implemented with principal component analysis (PCA) and density-based spatial clustering of applications with noise (DBSCAN) for extracellular differential electrode recordings.
Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning
Self-Paced Multi-Label Learning with Diversity
SSD 改进:backbone增加resnet,并针对resnet加入attention机制,为了充分利用细节特征和语义特征,还加入了特征融合模型
Self-supervised Siamese network (SSiam), FG 2019
Semi Supervised Learning Methods for Data Augmentation
Self-supervised multi-view learning vector quantization.
Cell type detection based on sparse subspace representation and similarity enhancement.
A semi-supervised variational Gaussian mixture model
Stacked Autoencoders implementation for the image denoising
用 MATLAB 实现深度学习网络中的 stacked auto-encoder:使用AE variant(de-noising / sparse / contractive AE)进行预训练,用BP算法进行微调
Stacked autoencoder exercise from http://ufldl.stanford.edu/
Best Subset Selection, Forward Stepwise, Backward Stepwise Classes in sk-learn style.
SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting
Working on developing novel algorithms for Person Re-identification, which is the task of identifying the same person across camera networks with non-overlapping views, using Subspace Learning (Metric Learning). Primarily working on developing cross-view semantic learning algorithms,jointly learning common basis matrices,the view-specific semantic projection matrices and association functions for person re-id. Trying to generalize the approach for multi-view analysis to seek a set of linear semantic transforms and relationship mapping functions simultaneously. Working on the VIPeR dataset preliminarily.
Codes
dimension reduction with python
MATLAB Code for abnormal detection or fault detection using Support Vector Data Description (SVDD).
Singular Value Decomposition Algorithms and Analysis with Image Compression
Simple example of image recognition using singular value decomposition and linear discriminant analysis.
Digit recognition using singular value decomposition.
Find neuronal ensembles with SVD method
A machine learning algorithm with user interface combining support vector machine with high dimensional model representation
Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet
High-acc(>0.7) model(ResNet, ResNeXt, DenseNet, SENet, SE-ResNeXt) on TensorFlow.
Finetuning AlexNet, VGGNet and ResNet with TensorFlow
Code repository for TensorFlow Machine Learning Cookbook by Packt
这是之前我和我的组员参与Tiny-mind 手写汉字识别大赛的一个项目, 主要实现了用Resnet或VGG16作为Backbone来训练一个分类任务以及基于opencv的一些图片数据集增强,最终我们组的成绩为TOP-5准确率99.19, 排名5/700。这个项目也可以用于其他的图片分类任务,整个网络框架是基于Tensorflow实现的
Tensorflow prebuilt binary for Windows
A ResNet(ResNet18, ResNet34, ResNet50, ResNet101, ResNet152) implementation using TensorFlow-2.0.
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.