3 projects for "linux engineer toolkit" with 2 filters applied:

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    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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    AppSignal installs in minutes and auto-configures dashboards, alerts, and error tracking.

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  • 1
    Open Model Zoo

    Open Model Zoo

    Pre-trained Deep Learning models and demos

    Open Model Zoo is a large repository of high-quality pre-trained deep learning models and demonstration applications designed to work with the OpenVINO™ toolkit, offering a comprehensive starting point for a wide range of AI and computer vision workloads. It includes hundreds of models covering object detection, classification, segmentation, pose estimation, speech recognition, text-to-speech, and more, many of which are already converted into formats optimized for inference on CPUs, GPUs,...
    Downloads: 1 This Week
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  • 2
    tf2_course

    tf2_course

    Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

    tf2_course provides the notebooks for the “Deep Learning with TensorFlow 2 and Keras” course authored by the same author, Aurélien Géron. It is structured as a teaching toolkit: you’ll find notebooks covering neural networks with Keras, lower-level TensorFlow APIs, data loading & preprocessing, convolutional and recurrent networks, and deployment/distribution of models. The material is intended for learners who already have foundational knowledge of ML and wish to deepen their understanding...
    Downloads: 0 This Week
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  • 3
    MatlabFunc

    MatlabFunc

    Matlab codes for feature learning

    MatlabFunc is a collection of MATLAB functions developed by the ZJULearning group to support various tasks in computer vision, machine learning, and numerical computation. The repository brings together a wide range of utility scripts, algorithms, and implementations that serve as building blocks for research and development. These functions cover areas such as matrix operations, optimization, data processing, and visualization, making them broadly applicable across different research...
    Downloads: 6 This Week
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