Libraries tagged by predictionio

ecommercebox/actionml

0 Favers
245 Downloads

ActionML Harness API PHP Client

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cv65kr/sylius-personalized-products

3 Favers
0 Downloads

Personalized products, choices by machine learning (Prediction IO) for Sylius.

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rubix/ml

2215 Favers
1620909 Downloads

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

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halilcosdu/laravel-replicate

53 Favers
13489 Downloads

Laravel client for Replicate predictions, files, models, trainings, and signed webhooks

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astrotomic/php-deepface

57 Favers
11048 Downloads

A PHP adapter for the python deepface framework.

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denissimon/prediction-builder

115 Favers
6712 Downloads

A library for machine learning that builds predictions using a linear regression.

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rubix/sentiment

118 Favers
581 Downloads

An example project using a multi layer feed forward neural network for text sentiment classification trained with 25,000 movie reviews from IMDB.

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polymarket-php/polymarket

12 Favers
781 Downloads

PHP Package for Polymarket API Integration

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mattfalahe/corp-wallet-manager

2 Favers
4596 Downloads

CorpWallet Manager - SeAT plugin for corporation wallet tracking and predictions

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jumbaeric/laragpt

17 Favers
5996 Downloads

Laravel chatgpt package, includes models listing and retrieving, completions prediction, chat completion from conversation, edits, images creation, image edit, image variations, audio translation and transcription.

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centrex/laravel-btyd

0 Favers
962 Downloads

Laravel package for BTYD (BG/NBD + Gamma-Gamma) CLV prediction

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jord-jd/eloquent-attribute-value-prediction

148 Favers
2 Downloads

Predict attribute values for your Laravel Eloquent models using machine learning!

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divineomega/eloquent-attribute-value-prediction

148 Favers
1558 Downloads

Predict attribute values for your Laravel Eloquent models using machine learning!

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rubix/server

64 Favers
2311 Downloads

Deploy your Rubix ML models to production with scalable stand-alone inference servers.

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rubix/housing

54 Favers
434 Downloads

An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.

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