🤗 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
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
TranslatedThe official repo of Qwen chat & pretrained large language model proposed by Alibaba Cloud.
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)
An open-source, tool-augmented conversational language model from Fudan University
Unsupervised text tokenizer for Neural Network-based text generation.
Low-code framework for building custom LLMs, neural networks, and other AI models
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Fast and Accurate ML in 3 Lines of Code
Open source annotation tool for machine learning practitioners.
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
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
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
State of the Art Natural Language Processing
Accelerated deep learning R&D
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/