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ncovmemory

2020新冠肺炎记忆：报道、非虚构与个人叙述（持续更新） Memory of 2020 nCov: Media Coverage, Non-fiction Writings, and Individual Narratives (Continuously updating)

nlg-yongzhuo

中文文本生成（NLG）之文本摘要（text summarization）工具包, 语料数据(corpus data), 抽取式摘要 Extractive text summary of Lead3、keyword、textrank、text teaser、word significance、LDA、LSI、NMF。（graph，feature，topic model，summarize tool or tookit）

nlp-beginner

NLP上手教程

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp_paper_summaries

✍️ A carefully curated list of NLP paper summaries

notes

Resources to learn more about Machine Learning and Artificial Intelligence

online-hdp

Online inference for the Hierarchical Dirichlet Process. Fits hierarchical Dirichlet process topic models to massive data. The algorithm determines the number of topics.

openccg

OpenCCG library for parsing and realization with CCG

pygoodreads

pyrouge

An interface to and, in time, a Python reimplementation of the ROUGE package for evaluating summarization

python-topic-model

Implementation of various topic models

ratemysupervisor

永久免费开源的导师评价数据、数据爬虫、无需编程基础的展示网页以及新信息补充平台

rationale-cnn

A keras implementation of our CNNs with rationales

reviewsummarizer

source and data for Product Review Summarization by Exploiting Phrase Properties

seda-ml-summarization

Here we explore and build an unsupervised deep belief network with the goal of becoming a commercially viable extractive text summarization tool.

sense2vec

💥 Use spaCy to go beyond vanilla word2vec

sentence2vec

Tools for mapping a sentence with arbitrary length to vector space

sentinet

simpletransformers

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

tensorflow-speech-recognition

🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks

tma

Topic Model Analyzer

tome

Interactive TOpic Model and MEtadata Visualization. Follow our progress at: tome.lmc.gatech.edu

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

vadersentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

vae

a simple vae and cvae from keras

virtualcoachdata

w2v_demo

little thing I can run on the project pages

word2vec

Python interface to Google word2vec

word2vec-1

This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.

word2vec-googlenews-vectors

word2vec Google News model