linnaeus

Classifier

A Redis-backed system for classifying documents into categories based on their content.

A redis-backed Bayesian classifier

GitHub

38 stars
3 watching
11 forks
Language: Ruby
last commit: over 10 years ago
Linked from 2 awesome lists


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
jekyll/classifier-rebornA general classifier module with Bayesian and LSI classification capabilities554
cardmagic/classifierA module for text classification using Bayesian and Latent Semantic Indexing algorithms661
reddavis/naive-bayesA simple implementation of a Naive Bayes classifier for text classification tasks49
jbrukh/bayesianA Go library implementing Naive Bayesian Classification with TF-IDF support.806
toddkramer/documentclassifierThis framework uses machine learning to classify documents into predefined categories44
ibm/max-inception-resnet-v2An image classification model using a third-generation deep residual network.27
sergioburdisso/pyss3A Python package implementing an interpretable machine learning model for text classification with visualization tools336
neuralix/google_evolutionA Python implementation of an exotic image classifier architecture inspired by Google's evolution of image classifiers53
davidavdav/rocanalysis.jlA tool for analyzing and evaluating probabilistic binary classifiers32
imageomics/bioclipA deep learning framework trained on a large biological image dataset to learn taxonomic labels and classify images.174
trthatcher/discriminantanalysis.jlA Julia package implementing regularized discriminant analysis for multiclass classification9
felixgwu/img_classification_pk_pytorchA PyTorch project for comparing image classification models and facilitating quick experiment setup366
weecology/deeptreeattentionAn implementation of a deep learning model for tree species classification from hyperspectral images120
ibm/max-resnet-50An image classification model using the ResNet-50 architecture, trained on the ImageNet dataset.14
mwydmuch/napkinxcA fast and simple library for multi-class and multi-label classification65