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Model Deployment — Artificial Intelligence & ML

We curate 4 GitHub repositories matching artificial intelligence & ml · Model Deployment. Refine with filters or upvote what's useful.

Model Deployment — Artificial Intelligence & ML

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  • PaddlePaddle/PaddleOCR

    PaddlePaddle/PaddleOCR

    70,931GitHubView on GitHub↗

    PaddleOCR is a comprehensive optical character recognition framework designed for detecting and transcribing text from images and documents into structured, machine-readable formats. It provides a modular computer vision pipeline that decouples image preprocessing, text detection, and character recognition into indepen

    Pythonai4sciencechineseocrdocument-parsing
  • hiyouga/LlamaFactory

    hiyouga/LlamaFactory

    67,386GitHubView on GitHub↗

    LlamaFactory is a unified framework for fine-tuning and adapting large language models. It provides a comprehensive platform that standardizes training workflows across diverse machine learning architectures, allowing users to execute both full-tuning and parameter-efficient methods through a single interface. The pro

    Pythonagentaideepseek
  • facebookresearch/segment-anything

    facebookresearch/segment-anything

    53,431GitHubView on GitHub↗

    This project provides a deep learning architecture designed to identify and isolate distinct objects within images by generating precise pixel-level masks. It functions as a browser-based inference engine, enabling the execution of complex machine learning models directly within web environments without requiring serve

    Jupyter Notebook
  • ultralytics/ultralytics

    ultralytics/ultralytics

    53,426GitHubView on GitHub↗

    Ultralytics is a comprehensive computer vision framework designed for training, validating, and deploying deep learning models across a wide range of visual recognition tasks. It provides a unified interface for core operations including object detection, instance segmentation, pose estimation, and image classification

    Pythonclicomputer-visiondeep-learning