Libraries tagged by science
rubix/ml
1055347 Downloads
A high-level machine learning and deep learning library for the PHP language.
php-science/textrank
1561742 Downloads
TextRank (automatic text summarization) for PHP.
siftscience/sift-php
2444459 Downloads
Sift Science PHP library
php-ai/php-ml
1378013 Downloads
PHP-ML - Machine Learning library for PHP
nlpcloud/nlpcloud-client
16173 Downloads
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, grammar and spelling correction, keywords and keyphrases extraction, chatbot, product description and ad generation, intent classification, text generation, image generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, speech synthesis, embeddings, and dependency parsing. It is ready for production, served through a REST API. This is the PHP client for the API. More details here: https://nlpcloud.com. Documentation: https://docs.nlpcloud.com. Github: https://github.com/nlpcloud/nlpcloud-php
wsw/sift-science
18650 Downloads
PHP client Sift Science
thedataist/drill-connector
7491 Downloads
Objects that allow you to programmatically connect to Apache Drill.
rubix/server
2141 Downloads
Deploy your Rubix ML models to production with scalable stand-alone inference servers.
coral-media/php-ml
971 Downloads
PHP-ML - Machine Learning library for PHP
elife/api-sdk
29129 Downloads
eLife Sciences API SDK
elife/api-client
31101 Downloads
eLife Sciences API client
elife/api
27753 Downloads
eLife Sciences API specification
rubix/sentiment
553 Downloads
An example project using a multi layer feed forward neural network for text sentiment classification trained with 25,000 movie reviews from IMDB.
rubix/mnist
170 Downloads
Handwritten digit recognizer using a feed forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
rubix/iris
379 Downloads
An introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.