Libraries tagged by bayes

rubix/ml

2206 Favers
1481476 Downloads

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

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niiknow/bayes

70 Favers
54277 Downloads

a machine learning lib

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fieg/bayes

73 Favers
94724 Downloads

Implementation of Naive Bayes Classifier algorithm in PHP.

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andreekeberg/abby

34 Favers
11772 Downloads

🙋‍♀️ Minimal A/B Testing Library

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ilicmiljan/weighted-ratings

3 Favers
59077 Downloads

A lightweight PHP library for calculating the Wilson Lower Bound Score and Bayesian Approximation weights for sorting algorithms based on user feedback.

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assisted-mindfulness/naive-bayes

44 Favers
536191 Downloads

Naive Bayes classifier algorithm

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camspiers/statistical-classifier

174 Favers
37019 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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bentools/split-test-analyzer

9 Favers
22308 Downloads

Bayesian probability calculator for split testing / AB testing.

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kbariotis/documer

78 Favers
180 Downloads

Bayes algorithm implementation in PHP for auto document classification.

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hybridlogic/classifier

80 Favers
1445 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
178 Downloads

Text classification using Naive Bayes approach

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assisted-mindfulness/bayesian-average

6 Favers
369821 Downloads

A Bayesian average is a method of estimating the mean of a population using outside information, especially a pre-existing belief, which is factored into the calculation.

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bgruszka/phpantispam

27 Favers
844 Downloads

Bayesian spam recognition library

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rubix/dota2

16 Favers
196 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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byjg/text-classifier

9 Favers
10 Downloads

A PHP text classifier supporting binary spam filtering (Robinson-Fisher Bayesian) and multi-class Naive Bayes classification, with optional LLM-assisted active learning fallback.

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