🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
💫 Industrial-strength Natural Language Processing (NLP) in Python
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Topic Modelling for Humans
NLTK Source
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
Pretrained model hub for Keras 3.
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Parse human names into title, given, middle, family, suffix, nickname and maiden name. Typed, zero-dependency, CJK-aware.
German language support for TextBlob.
The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.
Detect the sentiment captured in short pieces of text