🤗 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.
- nlp
- natural-language-processing
- pytorch
- pytorch-transformers
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🤗 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.
TranslatedChinese word segmentation, part-of-speech tagging, named entity recognition, dependency parsing, constituency parsing, semantic dependency parsing, semantic role labeling, coreference resolution, style transfer, semantic similarity, new word discovery, keyword and keyphrase extraction, automatic summarization, text classification and clustering, pinyin and Simplified/Traditional Chinese conversion, natural language processing
💫 Industrial-strength Natural Language Processing (NLP) in Python
Topic Modelling for Humans
Style and Grammar Checker for 25+ Languages
NLTK Source
A very simple framework for state-of-the-art Natural Language Processing (NLP)
modest natural-language processing
Unsupervised text tokenizer for Neural Network-based text generation.
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
Python library for processing Chinese text
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
Language Technology Platform
A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
An Open-Source Framework for Prompt-Learning.
Data augmentation for NLP
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)
State of the Art Natural Language Processing
Superfast AI decision making and intelligent processing of multi-modal data.