Showing 321-340 of 459 projects
A curated list of resources for Document Understanding (DU) related to machine learning and natural language processing.
Superlinked is a Python framework for building high-performance search & recommendation apps with structured and unstructured data.
ExtractThinker is a powerful document intelligence library for LLMs, offering flexible and intuitive workflows.
A Python package for Korean natural language processing, useful for vibe coders building AI-powered apps.
A Python library for named-entity recognition, part-of-speech tagging, and other NLP tasks using LSTM-CRF and ELMo models.
A curated collection of NLP paper summaries for developers interested in natural language processing.
An open-source tool for annotating Chinese text corpus, useful for NLP and text analysis projects.
Open-source RPA framework for Python and Robot Framework, focused on automation and AI-powered document processing.
An open-source tool for scaling, assessing, and maintaining natural language data for AI/ML models.
A Python library for extracting key information from text documents and visualizing it as a semantic graph.
A Python toolkit for building and fine-tuning deep learning models, including NLP and question answering.
A comprehensive collection of resources for learning machine learning in Russian.
Automated machine learning framework for creating and customizing ML models.
Pre-trained Chinese ELECTRA language model for natural language processing tasks.
A curated list of Machine Learning, AI, and NLP solutions for iOS development.
Code and examples from a book on practical natural language processing using Python and Jupyter Notebooks.
A comprehensive collection of open-source AI/ML modules and models for a wide range of computer vision and NLP tasks, suitable for vibe coders.
A persistent, network resilient, full text search library for the browser and Node.js.
A Python library and tools for generating and inspecting data for pre-training large language models (LLMs).
End-to-end NLP workflows from prototype to production for vibe coders building AI-powered apps
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