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  • Red Hat Enterprise Linux on Microsoft Azure Icon
    Red Hat Enterprise Linux on Microsoft Azure

    Deploy Red Hat Enterprise Linux on Microsoft Azure for a secure, reliable, and scalable cloud environment, fully integrated with Microsoft services.

    Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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  • Build enterprise-ready GenAI experiences with MongoDB Atlas Icon
    Build enterprise-ready GenAI experiences with MongoDB Atlas

    Combine the power of Google Cloud's robust infrastructure with the flexibility and scalability of MongoDB Atlas.

    MongoDB Atlas is a unified developer platform that enables you to confidently accelerate the deployment of GenAI-powered applications. Additionally, when purchased on Google Cloud Marketplace, you pay for only the resources you use with no upfront commitment.
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    LossFunctions.jl

    LossFunctions.jl

    Julia package of loss functions for machine learning

    ... of carefully implemented loss functions, as well as an API to query their properties (e.g. convexity). Furthermore, we expose methods to compute their values, derivatives, and second derivatives for single observations as well as arbitrarily sized arrays of observations. In the case of arrays a user additionally has the ability to define if and how element-wise results are averaged or summed over.
    Downloads: 0 This Week
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    QuantumClifford.jl

    QuantumClifford.jl

    Clifford circuits, graph states, and other quantum Stabilizer tools

    A Julia package for working with quantum stabilizer states and Clifford circuits that act on them. Graphs states are also supported. The package is already very fast for the majority of common operations, but there are still many low-hanging fruits performance-wise. See the detailed suggested readings & references page for background on the various algorithms.
    Downloads: 0 This Week
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