Showing 29 open source projects for "vector linux os"

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  • 1
    Lihang

    Lihang

    Statistical learning methods (2nd edition) [Li Hang]

    Lihang is an open-source repository that provides educational notes, mathematical derivations, and code implementations based on the book Statistical Learning Methods by Li Hang. The repository aims to help readers understand the theoretical foundations of machine learning algorithms through practical implementations and detailed explanations. It includes notebooks and scripts that demonstrate how key algorithms such as perceptrons, decision trees, logistic regression, support vector...
    Downloads: 0 This Week
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  • 2
    Deepo

    Deepo

    Set up deep learning environment in a single command line

    Deepo is a series of Docker images that allows you to quickly set up your deep learning research environment, supports almost all commonly used deep learning frameworks, supports GPU acceleration (CUDA and cuDNN included), also works in CPU-only mode, and works on Linux (CPU version/GPU version), Windows (CPU version) and OS X (CPU version). Their Dockerfile generator that allows you to customize your own environment with Lego-like modules, and automatically resolves the dependencies for you. For users in China who may suffer from slow speeds when pulling the image from the public Docker registry, you can pull deepo images from the China registry mirror by specifying the full path, including the registry, in your docker pull command. ...
    Downloads: 0 This Week
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  • 3
    Scikit Learn
    Machine Learning framework in Python
    Downloads: 3 This Week
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  • 4
    Stanford Machine Learning Course

    Stanford Machine Learning Course

    machine learning course programming exercise

    The Stanford Machine Learning Course Exercises repository contains programming assignments from the well-known Stanford Machine Learning online course. It includes implementations of a variety of fundamental algorithms using Python and MATLAB/Octave. The repository covers a broad set of topics such as linear regression, logistic regression, neural networks, clustering, support vector machines, and recommender systems. Each folder corresponds to a specific algorithm or concept, making it easy...
    Downloads: 3 This Week
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