This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
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Updated
May 20, 2024 - C++
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
ncnn example: mask detection: anticonv face detection: retinaface&&mtcnn&¢erface, track: iou tracking, landmark: zqcnn, recognize: mobilefacenet classifier: mobilenet object detecter: mobilenetssd
alibaba MNN, mobilenet classifier, centerface detecter, ultraface detecter, pfld landmarker and zqlandmarker, mobilefacenet
Scene text detection and recognition based on Extremal Region(ER)
Image Segmentation using Texture and Color features in C++
R-GBD Person Tracking is a ROS framework for detecting and tracking people from a mobile robot.
SpeakerVoiceIdentifier can recognize the voice of a speaker by learning.
Nodejs binding for fasttext representation and classification.
🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.
Decision tree implementation in C++ to classify and predict salary of people using ID3 and C4.5 algorithms
MicrOscopic VisuAlization of BLood cElls for the Detection of Malaria and CD4+
K-nearest neighbors (KNN) is a supervised machine learning algorithm that is used for classification and regression tasks. It works by finding the K nearest data points to a given input and using their labels to predict the label for the input.
Multi-label classification model on MNIST digits dataset.
Haar Cascade Classifier implementation and tools
Feedforward backpropagation neural network classifier for MNIST digit datatset
A simple word classifier based on minimum suffix match
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