limdu - Machine-learning for Node.js

•    Javascript

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Limdu is a machine-learning framework for Node.js. It supports multi-label classification, online learning, and real-time classification. Therefore, it is especially suited for natural language understanding in dialog systems and chat-bots.Limdu is in an "alpha" state - some parts are working (see this readme), but some parts are missing or not tested. Contributions are welcome.

classifier classification categorization text-classification natural-lanaguage-understanding machine-learning multi-label multilabel multi-class multiclass online-learning naive-bayes winnow perceptron svm linear-svm binary-relevance one-vs-all

tensorflow_template_application - TensorFlow template application for deep learning

•    Protocol

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It is the generic golden program for deep learning with TensorFlow.Following are the supported features.

tensorflow tfrecords libsvm csv deep-learning machine-learning mlp cnn lstm classifier recommendation-system cpp spark grpc android maven

brain - [UNMAINTAINED] Simple feed-forward neural network in JavaScript

•    Javascript

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Download the latest brain.js. Training is computationally expensive, so you should try to train the network offline (or on a Worker) and use the toFunction() or toJSON() options to plug the pre-trained network in to your website. Use train() to train the network with an array of training data. The network has to be trained with all the data in bulk in one call to train(). The more training patterns, the longer it will probably take to train, but the better the network will be at classifiying new patterns.

neural-network classifier machine-learning

brain.js - 🤖 Neural networks in JavaScript

•    Javascript

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brain.js is a library of Neural Networks written in JavaScript. 💡 Note: This is a continuation of the harthur/brain repository (which is not maintained anymore). For more details, check out this issue.

neural-network brain recurrent-neural-networks easy-to-use api web nodejs browser convolutional-neural-networks node stream ai artificial-intelligence brainjs brain.js feed-forward classifier neural network neural-networks machine-learning synapse recurrent long-short-term-memory gated-recurrent-unit rnn lstm gru

natural - general natural language facilities for node

•    Javascript

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"Natural" is a general natural language facility for nodejs. Tokenizing, stemming, classification, phonetics, tf-idf, WordNet, string similarity, and some inflections are currently supported.

natural language porter lancaster stemmer bayes classifier phonetic metaphone inflector wordnet tf-idf logistic regression doublemetaphone double jaro-winkler levenshtein distance tagger

classifier - [UNMAINTAINED] Bayesian classifier with Redis backend

•    Javascript

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Deprecation notice: This library is no longer actively maintained. Try the natural classifier. It doesn't have a Redis backend, but otherwise works even better. The first argument to train() can be a string of text or an array of words, the second argument can be any category name you want.

bayesian classifier machine-learning

svmjs - Support Vector Machine in Javascript (SMO algorithm, supports arbitrary kernels) + GUI demo

•    Javascript

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svmjs is a lightweight implementation of the SMO algorithm to train a binary Support Vector Machine. As this uses the dual formulation, it also supports arbitrary kernels. Correctness test, together with MATLAB reference code are in /test. Corresponding code is inside /demo directory.

support-vector-machines machine-learning classifier svm

twss.js - A node.js "that's what she said" classifier

•    Javascript

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This is a node.js module that classifies if a sentence can be replied with "that's what she said". You change algorithm from the default naive bayes classifier (nbc) to a k-nearest neighbor algorithm (knn).

machine-learning classifier twss ai

bayes - Naive-Bayes Classifier for node.js

•    Javascript

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bayes takes a document (piece of text), and tells you what category that document belongs to. Returns an instance of a Naive-Bayes Classifier.

naive bayes categorize classify classifier

talisman - A straightforward & modular NLP, machine learning & fuzzy matching library for JavaScript

•    Javascript

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The library's full documentation can be found here. Be sure to lint & pass the unit tests before submitting your pull request.

natural-language-processing machine-learning fuzzy-matching clustering record-linkage bayes bloom-filter canberra caverphone chebyshev cologne cosine classifier daitch-mokotoff dice fingerprint fuzzy hamming k-means jaccard jaro lancaster levenshtein lig metaphone mra ngrams nlp nysiis perceptron phonetic porter punkt schinke sorensen soundex stats tfidf tokenizer tversky vectorizer winkler

pycm - Multi-class confusion matrix library in Python

•    Python

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PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters. PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad array of metrics for predictive models and an accurate evaluation of large variety of classifiers. threshold is added in version 0.9 for real value prediction.

machine-learning confusion-matrix matrix statistics statistical-analysis accuracy ml ai mathematics data-mining data-analysis classification classifier data-science data neural-network multiclass-classification deep-learning artificial-intelligence deeplearning

Support Vector Machines Data Mining Plug-in in Analysis Services

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The datamining Support Vector Machine (SVM) plug-in in MS SQL Server Analysis Services 2008. This plug-in is the SVM classification algorithm in addition to the shipped data mining algorithms with SQL Server.

analysis-services classification classifier data-mining datamining regression smo

simple_bayes - A Naive Bayes machine learning implementation in Elixir.

•    Elixir

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A Naive Bayes machine learning implementation in Elixir. In machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes' theorem with strong (naive) independence assumptions between the features.

naive-bayes-classifier bayes machine-learning classifier

Gorganizer - Organize your folders into a beautiful classified folder structure with this perfect tool

•    Go

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Gorganizer is a Go program inspired by Bhrigu Srivastava Classifier Project. The Gorganizer's goal is to be a perfect tool providing a stupidly easy-to-use and fast program to organize your files based on its extension.

classifier badge organizer organization

naivebayes - Naive Bayes Classifier for node.js

•    Javascript

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Naive Bayes Classifier for node.js.

bayes naive-bayes-classifier naive-bayes naive-bayes-algorithm naivebayes naive machine-learning machine-learning-algorithms classifier node-ml nodejs javascript-library naive-bayes-classification

golinear - liblinear bindings for Go

•    Go

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golinear is a package for training and using linear classifiers in the Go programming language (golang).Ubuntu and Debian provide packages for liblinear. However, at the time of writing (July 2, 2014), these were serverly outdated. This package requires version 1.9 or later.

svm classifier linear-models liblinear machine-learning go-library

licenseclassifier - A License Classifier

•    Go

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The license classifier is a library and set of tools that can analyze text to determine what type of license it contains. It searches for license texts in a file and compares it to an archive of known licenses. These files could be, e.g., LICENSE files with a single or multiple licenses in it, or source code files with the license text in a comment.A "confidence level" is associated with each result indicating how close the match was. A confidence level of 1.0 indicates an exact match, while a confidence level of 0.0 indicates that no license was able to match the text.

license-management classifier google

random-forest-classifier - A random forest classifier in Javascript.

•    Javascript

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A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and use averaging to improve the predictive accuracy and control over-fitting.Modeled after scikit-learn's RandomForestClassifier.

random-forest machine-learning classifier

apparatus

•    Javascript

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A collection of low-level machine learning algorithms for node.js.This project is quite new and documentation will be on the way shortly. In the meantime you can check out the spec folder for examples of how to use the algorithms.

machine learning ml classifier clustering bayes k-means logistic regression

SoundKeylogger - An experimental project to demonstrate how a user keyboard input may be sniffed through the pattern analysis of the sounds emitted by the keystrokes

•    C

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An experimental project to demonstrate how a user keyboard input may be sniffed through the pattern analysis of the sounds emitted by the keystrokes (based on pyAudioAnalysis). This field of study is called Acoustic cryptanalysis, (also known as Acoustic Keyboard Eavesdropping) and is a type of side channel attack towards electronic devices.

pyaudioanalysis ufpe keystrokes infosec pattern-analysis classifier audio audio-analysis