jlearn

★ 59 Open GitHub ↗

Machine Learning Library, written in J

Explore Similar Repositories

mafese : Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
LO-Shot : Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning
PatternRecognition_Matlab : Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).
ruby-knn : Simple kNN Classifier written in Ruby
Yoga-Pose-Estimation-App : This is a Yoga Pose Estimation App which can be able to detect the yoga pose in real time by using posenet and KNN Classifier. Here the dataset used is custom data set which consists of 3 videos for representing 3 different postures. It is deployed in heroku. One Thing to be noted i.e this will work correctly for all mobile and edge devices.
// repository documentation