Showing 241-260 of 439 projects
A set of pre-trained machine learning models for the spaCy NLP library.
A Python tool for automatically scraping data on China's statutory holidays from government announcements.
A Python library for natural gradient boosting, a powerful technique for probabilistic prediction.
A curated list of awesome embedding models tutorials, projects and communities for machine learning and NLP.
An LLM compiler that enables efficient parallel function calling for large language models.
Semantic search platform that allows users to search local photos and videos using natural language.
A distributed Chinese word segmentation library for Java, useful for natural language processing tasks.
A local PDF chatbot that allows developers to interact with documents using natural language
A large annotated semantic parsing corpus for developing natural language interfaces.
NLTK Data is a collection of datasets, models, and other resources for natural language processing in Python.
A repository of machine learning and Tensorflow deep learning models for natural language processing problems.
A 1st place solution for a Kaggle competition on improving product search relevance using NLP.
A comprehensive collection of research on knowledge graphs, covering various applications and techniques.
A curated collection of articles and resources on search, recommendation, and natural language processing.
A repository focused on natural language processing, knowledge graphs, and conversational AI research and applications.
Open-sourced projects from the Google AI Language team focused on machine learning and natural language processing.
A toolbox of models, callbacks, and datasets for AI/ML researchers using PyTorch.
An open-source library for creative coding with p5.js, focused on simulating natural phenomena.
A tutorial on using natural language processing to compare stand-up comedians, not a vibe-coder tool.
An open-source project for experimenting with natural language processing on the Sogou dataset, including text classification, clustering, word embeddings, sentiment analysis, and relation extraction.
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