Showing 4 open source projects for "support vector machine"

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  • Error to trace to log to deploy. One click. No SSH. Icon
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  • 1
    Vector Element

    Vector Element

    A glossy Matrix collaboration client for the web

    Protect the most sensitive parts of your organization; from senior executive discussion to intellectual property and cybersecurity. An entire communications platform under your control, with end-to-end encrypted voice, video, messaging and collaboration. Easily scales to serve the largest of organizations, supply chains and entire ecosystems. Support thousands of users in a single end-to-end encrypted chat room. Connect millions in real time across multiple organizations. Decentralization...
    Downloads: 5 This Week
    Last Update:
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  • 2
    Kubeflow

    Kubeflow

    Machine Learning Toolkit for Kubernetes

    Kubeflow is an open source Cloud Native machine learning platform based on Google’s internal machine learning pipelines. It seeks to make deployments of machine learning workflows on Kubernetes simple, portable and scalable. With Kubeflow you can deploy best-of-breed open-source systems for ML to diverse infrastructures. You can also take advantage of a number of great features, such as services for managing Jupyter notebooks and support for a TensorFlow Serving container. ...
    Downloads: 4 This Week
    Last Update:
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  • 3
    MatrixOne

    MatrixOne

    Hyperconverged cloud-edge native database

    MatrixOne is a future-oriented hyperconverged cloud & edge native DBMS that supports transactional, analytical, and streaming workload with a simplified and distributed database engine, across multiple data centers, clouds, edges and other heterogeneous infrastructures. A monolithic database engine is designed to support hybrid workloads: transactional, analytical, streaming, time-series, machine learning, etc. MatrixOne supports seamless workload migration and bursting among different locations and infrastructures. MatrixOne provides industry-leading latency control with optimized consistency protocol. Accelerated queries supported by patented vectorized execution as well as optimal computation push-down strategies through factorization techniques. ...
    Downloads: 11 This Week
    Last Update:
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  • 4
    Amazon CodeGuru Profiler Python Agent

    Amazon CodeGuru Profiler Python Agent

    Amazon CodeGuru Profiler Python Agent

    Amazon CodeGuru Profiler collects runtime performance data from your live applications and provides recommendations that can help you fine-tune your application performance. Using machine learning algorithms, CodeGuru Profiler can help you find your most expensive lines of code and suggest ways you can improve efficiency and remove CPU bottlenecks. CodeGuru Profiler provides different visualizations of profiling data to help you identify what code is running on the CPU, see how much time is...
    Downloads: 0 This Week
    Last Update:
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    MongoDB Atlas runs apps anywhere

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