Popular GitHub Repositories for Descriptor Extraction

? Easy-to-use and powerful NLP and LLM library with ? Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including ?Text Classification, ? Neural Search, ? Question Answering, ?? Information Extraction, ? Document Intelligence, ? Sentiment Analysis etc.

An open source library for deep learning end-to-end dialog systems and chatbots.

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

OpenMMLab Text Detection, Recognition and Understanding Toolbox

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

State of the Art Natural Language Processing

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

Minimal keyword extraction with BERT

Snips Python library to extract meaning from text

Module for automatic summarization of text documents and HTML pages.

??High-Performance Face Recognition Library on PaddlePaddle & PyTorch??

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.

Document (PDF, Word, PPTX ...) extraction and parse API using state of the art modern OCRs + Ollama supported models. Anonymize documents. Remove PII. Convert any document or picture to structured JSON or Markdown

Deep neural network to extract intelligent information from invoice documents.

文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.