Leonxlnx/taste-skill
Taste Skill provides portable AI Agent Skills designed to enhance the quality of AI-generated frontends and image-based design references, aiming to eliminate generic UI outputs.
Awesome AI Agents › AI Developer Toolkit
Underthesea is an open-source Vietnamese Natural Language Processing (NLP) toolkit designed to facilitate research and development in Vietnamese language processing. It provides a comprehensive suite of Python modules, datasets, and tutorials that enable users to apply pretrained NLP models to Vietnamese text with ease. The toolkit supports a variety of NLP tasks including word segmentation, part-of-speech tagging (PoS), named entity recognition (NER), text classification, chunking, sentence segmentation, text normalization, and dependency parsing. Underthesea offers both traditional and deep learning models, with easy-to-use APIs that allow quick integration into projects. It supports the latest Python versions, including 3.12 and 3.13, ensuring compatibility and improved performance. The toolkit is well-documented and includes live demos, tutorials, and example usage snippets for each feature, making it accessible for both beginners and advanced users. Key functionalities include breaking text into sentences, standardizing text representation, dividing text into words, labeling words with their grammatical roles, grouping words into meaningful phrases, analyzing grammatical structures, identifying named entities such as names and locations, and categorizing text into predefined groups. Underthesea also supports prompt-based models and offers installation via pip for easy setup. The project is actively maintained and encourages community support and contributions. It is a valuable resource for anyone working with Vietnamese language data, providing robust tools to handle the unique linguistic characteristics of Vietnamese efficiently and effectively.
https://github.com/undertheseanlp/underthesea
Taste Skill provides portable AI Agent Skills designed to enhance the quality of AI-generated frontends and image-based design references, aiming to eliminate generic UI outputs.
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