🤗 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.
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
A machine learning software for extracting information from scholarly documents
🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
敏感词过滤的几种实现+某1w词敏感词库
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text
Self-contained Japanese Morphological Analyzer written in pure Go
No-Frills Functional Programming Lib Augmenting Javascript/Node.js
JevStyle: local decision models for AI agents. Classify, route and score with a probability per option. systemone-compatible local server, MCP tools, Claude Code guard. Open weights, Apache-2.0.
Machine learning and natural language processing with Apache Pig
Multilingual library to easily parse date strings to java.util.Date objects.
Combinatory Categorial Grammar (CCG): Full set CCG, and probabilistic CCG