classificationCatalyst.Classification
Stars: ✭ 35 (-53.95%)
Mutual labels: classification, focal-loss
neuralBlackA Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework
Stars: ✭ 36 (-52.63%)
Mutual labels: classification
napkinXCExtremely simple and fast extreme multi-class and multi-label classifiers.
Stars: ✭ 38 (-50%)
Mutual labels: classification
HRFormerThis is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".
Stars: ✭ 357 (+369.74%)
Mutual labels: classification
focallossFocal Loss of multi-classification in tensorflow
Stars: ✭ 75 (-1.32%)
Mutual labels: classification
GenderClassifierGender_classification_challenge
Stars: ✭ 40 (-47.37%)
Mutual labels: classification
sp segmenterSuperpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.
Stars: ✭ 33 (-56.58%)
Mutual labels: classification
ProbQAProbabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.
Stars: ✭ 43 (-43.42%)
Mutual labels: classification
XEDXED multilingual emotion datasets
Stars: ✭ 34 (-55.26%)
Mutual labels: classification
MLLabelUtils.jlUtility package for working with classification targets and label-encodings
Stars: ✭ 30 (-60.53%)
Mutual labels: classification
nlp classificationImplementing nlp papers relevant to classification with PyTorch, gluonnlp
Stars: ✭ 224 (+194.74%)
Mutual labels: classification
pyts-reproA repository to compare the performance between the algorithms implemented in pyts and the performance reported in the literature
Stars: ✭ 15 (-80.26%)
Mutual labels: classification
snomed-owl-toolkitThe official SNOMED CT OWL Toolkit. OWL conversion, classification and authoring support.
Stars: ✭ 58 (-23.68%)
Mutual labels: classification
volkscvA Python toolbox for computer vision research and project
Stars: ✭ 58 (-23.68%)
Mutual labels: classification
eeg-rsenetMotor Imagery EEG Signal Classification Using Random Subspace Ensemble Network
Stars: ✭ 24 (-68.42%)
Mutual labels: classification
hmmA Hidden Markov Model implemented in Javascript
Stars: ✭ 29 (-61.84%)
Mutual labels: classification
