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Design and implementation of facial expression recognition based on machine learning
Source code for training an Active Appearance Model (AAM) and fitting using the Fast Simultaneous Inverse Compositional Algorithm (Fast-SIC)
Using Fisher LDA and Principal Components Analysis to evaluate the performance of a Generative Adversarial Network
Image Processing, machine learning
image feature learning using autoencoder
Feature selection and feature extraction code implementation from the paper Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review. Link -> https://arxiv.org/abs/1905.02845
Feature selection considering the composition of feature relevancy based on information theory
implement Feature subtraction/ style transfer using Conditional AutoEncoder-GAN combined model
FeatureLearning-ECCV2016
feature selections and extractions
Implementation of Fishers Linear Discrimination Analysis, Logistic Regression and Naive Bayes with Marginal Gaussian Distributions
🚀CNN-based image retrieval built on Keras
CODE of Flexible Multi-View Representation Learning for Subspace Clustering
sparse representation和PCA代码收集
An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 2015.
Dense-CNN features on faces
Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier
Matlab implementation of a Generative Adversarial Network
八种最常用的GAN生成式对抗网络代码框架
Generative Adversarial Network implemented for the Time-Frequency based Speech Enhancement
python实现GBDT的回归、二分类以及多分类,将算法流程详情进行展示解读并可视化,庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision
A Study of Graph-based System for Multi-view Clustering
Generative discriminative regression
Apply Supervised Learning algorithms (i.e Naive Bayes, KNN and SVM) with boosting on PCA-ed face image dataset
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.