8 projects for "kde-connect" with 2 filters applied:

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  • 1
    Andrew NG Notes Collection

    Andrew NG Notes Collection

    This is Andrew NG Coursera Handwritten Notes

    ...Each chapter mirrors the structure of the course curriculum, allowing students to review the material in a systematic way while following along with the lectures. The repository emphasizes conceptual clarity and practical understanding, helping learners connect mathematical foundations with real machine learning applications.
    Downloads: 7 This Week
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  • 2
    DATA SCIENCE ROADMAP

    DATA SCIENCE ROADMAP

    Data Science Roadmap from A to Z

    ...The roadmap also includes links to courses, tutorials, and external resources that help learners study each topic in more depth. By organizing these subjects into a logical sequence, the repository helps beginners understand how different technical skills connect within the broader data science workflow. The roadmap format makes it easy for learners to track their progress as they move from foundational concepts to more advanced techniques.
    Downloads: 0 This Week
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  • 3
    Text-to-image Playground

    Text-to-image Playground

    A playground to generate images from any text prompt using SD

    ...The platform demonstrates how large generative models can be integrated into user-friendly tools for creative exploration and rapid prototyping. It also serves as a reference architecture for building full-stack generative AI applications that connect model inference pipelines with web interfaces.
    Downloads: 0 This Week
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  • 4
    2020 Machine Learning Roadmap

    2020 Machine Learning Roadmap

    A roadmap connecting many of the most important concepts

    machine-learning-roadmap is an open-source educational project that provides a visual and conceptual guide to the most important ideas and tools in machine learning. The repository organizes machine learning knowledge into a structured roadmap that helps learners understand how different concepts connect within the field. It outlines the typical workflow of solving machine learning problems, starting from problem formulation and data preparation to model training and evaluation. The roadmap also highlights the major technologies and frameworks commonly used in machine learning development. In addition to describing technical tools, the project includes recommended learning resources that help users study the underlying mathematics and algorithms behind machine learning systems. ...
    Downloads: 0 This Week
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    Build Securely on Azure with Proven Frameworks

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  • 5
    Machine Learning & Deep Learning

    Machine Learning & Deep Learning

    machine learning and deep learning tutorials, articles

    ...Each tutorial walks through the process of building and training models for tasks such as image classification, neural network training, and computer vision applications. The repository also includes explanations of how different algorithms function internally, helping readers connect theoretical knowledge with implementation details. Because the tutorials are organized into separate projects, users can easily explore specific topics or technologies within the machine learning ecosystem.
    Downloads: 0 This Week
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  • 6
    cintruder

    cintruder

    CIntruder - OCR Bruteforcing Toolkit

    Captcha Intruder is an automatic pentesting tool to bypass captchas. -> CIntruder-v0.4 (.zip) -> md5 = 6326ab514e329e4ccd5e1533d5d53967 -> CIntruder-v0.4 (.tar.gz) ->md5 = 2256fccac505064f3b84ee2c43921a68 --------------------------------------------
    Downloads: 0 This Week
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  • 7
    Azure Machine Learning Python SDK

    Azure Machine Learning Python SDK

    Python notebooks with ML and deep learning examples

    Azure Machine Learning Python SDK is a curated repository of Python-based Jupyter notebooks that demonstrate how to develop, train, evaluate, and deploy machine learning and deep learning models using the Azure Machine Learning Python SDK. The content spans a wide range of real-world tasks — from foundational quickstarts that teach users how to configure an Azure ML workspace and connect to compute resources, to advanced tutorials on using pipelines, automated machine learning, and dataset handling. Because it is designed to work with Azure Machine Learning compute instances, many notebooks can be executed directly in the cloud without additional setup, but they can also run locally with the appropriate SDK and packages installed. ...
    Downloads: 0 This Week
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  • 8
    pyIRDG

    pyIRDG

    IMDb Relational Dataset Generator

    pyIRDG is a program written in Python to generate relational datasets in Prolog format. It uses data from the Internet Movie Database in combination with IMDbPY as backend. A graphical user interface written in pyQt allows the user to link multiple entities together as model for the generation process. The big four entities are Title, Person, Company and Character. Many attributes can be chosen for adding to the output .pl file. Three types of constraints on attributes are available to limit...
    Downloads: 0 This Week
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