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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

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  • 1
    Open Notebook

    Open Notebook

    An Open Source implementation of Notebook LM with more flexibility

    ...The platform supports 16+ AI providers—including OpenAI, Anthropic, Ollama, Google, and LM Studio—allowing flexible model choice and cost optimization. Open Notebook enables users to organize and analyze multi-modal content such as PDFs, videos, audio files, web pages, and Office documents. It combines full-text and vector search with context-aware AI chat to deliver insights grounded in your own research materials. With advanced features like multi-speaker podcast generation, customizable content transformations, and a comprehensive REST API, Open Notebook provides a powerful and extensible research environment.
    Downloads: 44 This Week
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  • 2
    MagicMirror²

    MagicMirror²

    Modular smart mirror platform with a list of installable modules

    MagicMirror² is Open Source, free and maintained by a big group of enthusiasts. Got a nice idea? Send us a pull request and become a part of the big list of contributors. The core of MagicMirror² contains a strong API which allows 3rd party developers to build additional modules. Modules you can use. Modules you can develop. Read our extensive documentation to find out everything you want to know about the MagicMirror² project. The full API description allows you to build your own modules....
    Downloads: 5 This Week
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  • 3
    CVPR 2025

    CVPR 2025

    Collection of CVPR 2025 papers and open source projects

    CVPR 2025 curates accepted CVPR 2025 papers and pairs them with their corresponding code implementations when available, giving researchers and practitioners a fast way to move from reading to reproducing. It organizes entries by topic areas such as detection, segmentation, generative models, 3D vision, multi-modal learning, and efficiency, so you can navigate the year’s output efficiently. Each paper entry typically includes a title, author list, and links to the paper PDF and official or...
    Downloads: 0 This Week
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  • 4
    Machine Learning Glossary

    Machine Learning Glossary

    Machine learning glossary

    ...It covers a wide range of topics including neural networks, regression models, optimization techniques, loss functions, and evaluation metrics. The content is organized into sections that progressively introduce key ideas from basic machine learning concepts to more advanced mathematical topics. Many pages include diagrams or code examples to illustrate how algorithms work in practice. Because the project emphasizes accessibility, it is particularly useful for beginners who want a conceptual overview of machine learning terminology before diving into more technical research papers.
    Downloads: 0 This Week
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    $300 Free Credits to Build on Google Cloud

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  • 5
    Isolation Similarity

    Isolation Similarity

    aNNE similarity based on Isolation Kernel

    ...https://ojs.aaai.org//index.php/AAAI/article/view/4402 Bibtex format: @inproceedings{qin2019nearest, title={Nearest-neighbour-induced isolation similarity and its impact on density-based clustering}, author={Qin, Xiaoyu and Ting, Kai Ming and Zhu, Ye and Lee, Vincent CS}, booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, volume={33}, pages={4755--4762}, year={2019} }
    Downloads: 0 This Week
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  • 6
    Machine Learning Yearning

    Machine Learning Yearning

    Machine Learning Yearning

    Artificial intelligence, machine learning and deep learning are transforming numerous industries. Professor Andrew Ng is currently writing a book on how to build machine learning projects. The point of this book is not to teach traditional machine learning algorithms, but to teach you how to make machine learning algorithms work. Some technical courses in AI will give you a tool, and this book will teach you how to use those tools. If you aspire to be a technical leader in AI and want to...
    Downloads: 1 This Week
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  • 7
    NN-SVG

    NN-SVG

    Publication-ready NN-architecture schematics

    ...NN-SVG is a tool for creating Neural Network (NN) architecture drawings parametrically rather than manually. It also provides the ability to export those drawings to Scalable Vector Graphics (SVG) files, suitable for inclusion in academic papers or web pages. The tool provides the ability to generate figures of three kinds: classic Fully-Connected Neural Network (FCNN) figures, Convolutional Neural Network (CNN) figures of the sort introduced in the LeNet paper, and Deep Neural Network figures following the style introduced in the AlexNet paper. The former two are accomplished using the D3 javascript library and the latter with the javascript library Three.js. ...
    Downloads: 1 This Week
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  • 8
    Python Machine Learning book

    Python Machine Learning book

    The book code repository and info resource

    What you can expect are 400 pages rich in useful material just about everything you need to know to get started with machine learning. From theory to the actual code that you can directly put into action! This is not yet just another "this is how scikit-learn works" book. I aim to explain all the underlying concepts, tell you everything you need to know in terms of best practices and caveats, and we will put those concepts into action mainly using NumPy, scikit-learn, and Theano. ...
    Downloads: 0 This Week
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  • 9

    Black Hole Cortex

    Sphere surface layers of visual cortex approach maximum info density

    ...We can think of Wikipedia as a layer above our brains, a global SphereSurface of large surface area (a cortex layered on billions of minds) and small (10000 most important pages) density.
    Downloads: 0 This Week
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