Libraries tagged by naive

rubix/ml

2046 Favers
753736 Downloads

A high-level machine learning and deep learning library for the PHP language.

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assisted-mindfulness/naive-bayes

40 Favers
439908 Downloads

Naive Bayes classifier algorithm

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niiknow/bayes

69 Favers
26841 Downloads

a machine learning lib

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chriskonnertz/bbcode

41 Favers
208744 Downloads

A naive attempt at a BBCode 'parser' written in PHP. It uses regex and thus fails at complex, nested tags.

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fieg/bayes

74 Favers
87713 Downloads

Implementation of Naive Bayes Classifier algorithm in PHP.

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php-extended/php-tail

0 Favers
57172 Downloads

A smart way to tail files depending of the environment

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camspiers/statistical-classifier

178 Favers
36961 Downloads

A PHP implementation of Complement Naive Bayes and SVM statistical classifiers, including a structure for building other classifier, multiple data sources and multiple caching backends

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matthiasnoback/naive-serializer

50 Favers
9367 Downloads

A naive JSON serializer which recursively converts an object graph to and from JSON, without any configuration or custom code.

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restruct/silverstripe-simpler

1 Favers
1234 Downloads

Tries to make Silverstripe development a bit simpler by naively re-introducting some 'common sense'/old-fashioned/SS3 basics like global Bootstrap & jQuery and a modal

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hybridlogic/classifier

81 Favers
1435 Downloads

A Naive Bayesian classification library for PHP with support for different tokenizers to optimize string classification.

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biobii/naive-bayes-text-classifier

14 Favers
169 Downloads

Text classification using Naive Bayes approach

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aldeebhasan/naive-crud

1 Favers
32 Downloads

A lightweight package to handle the laravel crud operations

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umono/yaa-yii2

8 Favers
84 Downloads

一个基于Vue3 yii2 的后台框架,可快速助你开发。

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rubix/dota2

14 Favers
181 Downloads

Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and the results of 102,944 sample games.

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mitmelon/sentiment

2 Favers
22 Downloads

Sentiment is a sentiment classifier. It uses a model of words that are categorised as positive, negative or neutral, and a naive bayes algorithm to calculate sentiment. To improve accuracy, Sentiment removes 'noise' words.

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