Libraries tagged by predict
rubix/ml
757871 Downloads
A high-level machine learning and deep learning library for the PHP language.
lob/lob-php
2952635 Downloads
The Lob API is organized around REST. Our API is designed to have predictable, resource-oriented URLs and uses HTTP response codes to indicate any API errors.
predictionio/predictionio
288539 Downloads
Apache PredictionIO API PHP Client
predicthq/address-formatter
157038 Downloads
Address formatter using country templates from https://github.com/OpenCageData/address-formatting
esplora/next-value-predictor
208520 Downloads
Predict the next value based on the previous values
predicthq/address-formatter-templates
157678 Downloads
Address formatter templates from https://github.com/OpenCageData/address-formatting - used with the predicthq/address-formatter package.
loophp/mock-soapclient
59166 Downloads
A fake and predictable SOAP client, useful for your unit tests.
denissimon/prediction-builder
6686 Downloads
A library for machine learning that builds predictions using a linear regression.
rubix/server
2061 Downloads
Deploy your Rubix ML models to production with scalable stand-alone inference servers.
rubix/sentiment
533 Downloads
An example project using a multi layer feed forward neural network for text sentiment classification trained with 25,000 movie reviews from IMDB.
palpalani/laravel-easyrec
9572 Downloads
A Laravel wrapper for the EasyRec
astrotomic/php-deepface
204 Downloads
A PHP adapter for the python deepface framework.
monei/monei-php-sdk
4993 Downloads
The MONEI SDK will allow you to interact with our API in an easy and predictable way.
jumbaeric/laragpt
2214 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.
dashboardbuilder/dashboardbuilder.net
189 Downloads
Dashboard Builder is a PHP based data driven visualization & business analtyc tool, a machine learning delivers insights, written in PHP with an added layer of drag-and-drop flexibility which helps predicting the future with ease and no code required.