Showing 21-40 of 46 projects
Top2Vec learns jointly embedded topic, document and word vectors for semantic search and topic modeling.
This is an online learning platform for the New Concept English language learning series, with features like course text reading and sentence-level audio.
Large Concept Models for language modeling in a sentence representation space using PyTorch.
A high-performance library for generating state-of-the-art static embeddings for natural language processing tasks.
A comprehensive set of Keras-based NLP models for text classification, similarity, and more, with support for Chinese and English.
Efficient retrieval augmentation and generation framework for multi-modal information retrieval and question-answering
Underthesea is a powerful Vietnamese NLP toolkit for developers working with natural language processing tasks.
jiant is an NLP toolkit that provides pre-trained BERT models and tools for multi-task learning and transfer learning.
BERT-based utility library for generating sentence vectors and performing text classification
Data augmentation for NLP using CNN and RNN, presented at EMNLP 2019
A comprehensive NLP toolkit for Chinese language processing, including chatbots, text similarity, classification, and more.
A BERT-based knowledge graph question-answering system with online and offline modes.
A developer-friendly natural language processing library for building chatbots, extracting entities, and analyzing sentiment.
A Python package to calculate readability statistics of text objects, including paragraphs, sentences, and articles.
Python library for solving basic Russian NLP tasks, with an API for lower level Natasha projects.
Chinese NLP library with various tools and features for text processing, analysis, and manipulation.
A robust, efficient, and adaptable toolkit for segmenting text into sentences or other semantic units.
A C++ library for unsupervised sentence representation learning, useful for AI-powered coding tools.
Detoxify is a Python library with trained models to detect toxic comments, built using Pytorch Lightning and Transformers.
A Python library that summarizes news articles by extracting the most important sentences.
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