A Modern C++ Data Sciences Toolkit
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Updated
Apr 17, 2023 - C++
A Modern C++ Data Sciences Toolkit
X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification
R wrapper for fastText
Nodejs binding for fasttext representation and classification.
ConText v4: Neural networks for text categorization
A tutorial of building tensorflow serving service from scratch
Implemented Preprocessing steps, Feature Extraction techniques and Naive Bayes Classifier in C++. Moreover, we have also implemented all the steps using python for comparative analysis.
A naive bayes text classification algorithm implementation using C++ built for Ruby
A fast classification and tagging tool using byte-level n-gram embeddings. bytesteady is a ServiceNow Research project that was started at Element AI.
Text classification approaches in Swift 4.2. With/Without CoreML
fastTextWeb is a custom version of Facebook's text classification library (fastText) that is intended for use on the web.
Implementation of Text Classifier in C++. This project focuses on implementing each stages of a text based classifier i.e. from preparing data (including tokenization, padding and creating embedded Matrix), and feed that to a MLP to see how it performance.
fastText v0.9.3 (C++ port)
Weighted FastText is a library for fast text classification with weighted examples
Algoritmo de compresión y descompresión de texto basado en reemplazos. Dicho algoritmo funciona de la siguiente manera: 1. Tomando como entrada un archivo con texto, se establece un umbral de reemplazo. 2. Para cada palabra cuya frecuencia sea igual o mayor a la del umbral de reemplazo, cambiar su hilera de caracteres por otra. Agregue en un arc…
fastTextR is an R interface to the fastText library.
Feature extraction from sequential data
Library for fast text representation and classification.
Distillation and some other iterative methods for fastText.
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