pghumorIs This a Joke? Humor Detection in Spanish Tweets
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Mutual labels: classifier, svm
ML4K-AI-ExtensionUse machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.
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Mutual labels: classifier, image-classification
Vehicle Detection And TrackingUdacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking
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Mutual labels: classifier, svm
Stagesepxdetect stages in video automatically
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Mutual labels: svm, image-classification
image featuresExtract deep learning features from images using simple python interface
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Mutual labels: feature-extraction, image-classification
Pytorch classification利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码
Stars: ✭ 395 (+912.82%)
Mutual labels: svm, image-classification
Scene Text RecognitionScene text detection and recognition based on Extremal Region(ER)
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Mutual labels: classifier, svm
ezSIFTezSIFT: An easy-to-use standalone SIFT library written in C/C++
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Mutual labels: feature-extraction, sift
pyAudioProcessingAudio feature extraction and classification
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Mutual labels: classifier, feature-extraction
golinearliblinear bindings for Go
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Mutual labels: classifier, svm
Computer Vision Guide📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.
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Mutual labels: feature-extraction, image-classification
ImageclassificationDeep Learning: Image classification, feature visualization and transfer learning with Keras
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Mutual labels: feature-extraction, image-classification
MachinelearnjsMachine Learning library for the web and Node.
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Mutual labels: svm, feature-extraction
MedpyMedical image processing in Python
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Mutual labels: feature-extraction, image-classification
Keras transfer cifar10Object classification with CIFAR-10 using transfer learning
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Mutual labels: classifier, image-classification
Speech signal processing and classificationFront-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].
Stars: ✭ 155 (+297.44%)
Mutual labels: classifier, feature-extraction
SIFT-BoFFeature extraction by using SITF+BoF.
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Mutual labels: feature-extraction, sift
tensorflow-image-classifierEasily train an image classifier and then use it to label/tag other images
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Mutual labels: classifier, image-classification
SiftySiftyimplements SIFT algorithm using pure c++
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Mutual labels: sift
