A Modern C++ Data Sciences Toolkit

X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

ConText v4: Neural networks for text categorization

R wrapper for fastText

A tutorial of building tensorflow serving service from scratch

Nodejs binding for fasttext representation and classification.

Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers (KDD'23)

fastTextWeb is a custom version of Facebook's text classification library (fastText) that is intended for use on the web.

Text classification approaches in Swift 4.2. With/Without CoreML

A fast classification and tagging tool using byte-level n-gram embeddings. bytesteady is a ServiceNow Research project that was started at Element AI.

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.

bayes text classifier

Feature extraction from sequential data

RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation (CIKM'17)

Weighted FastText is a library for fast text classification with weighted examples

A C++ library for text classification using Multinomial Naive Bayes model on Reuters-21578 dataset.

fastText v0.9.3 (C++ port)

The Toxic Comments Classifier is a robust machine learning tool implemented in C++ designed to identify toxic comments in digital conversations. Featuring a custom-built multi-layer perceptron (MLP) architecture with multiple layers and nodes, this project enhances the understanding of the learning processes involved in machine learning.

A naive bayes text classification algorithm implementation using C++ built for Ruby

Distillation and some other iterative methods for fastText.