Showing 2 open source projects for "dxvk-2.0"

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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.
  • Automated quote and proposal software for IT solution providers. | ConnectWise CPQ Icon
    Automated quote and proposal software for IT solution providers. | ConnectWise CPQ

    Create IT quote templates, automate workflows, add integrations & price catalogs to save time & reduce errors on manual data entry & updates.

    ConnectWise CPQ, formerly ConnectWise Sell, is a professional quote and proposal automation software for IT solution providers. ConnectWise CPQ offers a wide range of tools that enables IT solution providers to save time, quote more, and win big. Top features include professional quote or proposal templates, product catalog and sourcing, workflow automation, sales reporting, and integrations with best-in-breed solutions like Cisco, Dell, HP, and Salesforce.
  • 1
    Nebula Graph

    Nebula Graph

    A distributed, fast open-source graph database

    The graph database built for super large-scale graphs with milliseconds of latency. Optimized SUBGRAPH and FIND PATH for better performance. Optimized query paths to reduce redundant paths and time complexity. Optimized the method to get properties for better performance of MATCH statements. Nebula Graph adopts the Apache 2.0 license, one of the most permissive free software licenses in the world. Free as in freedom, because, under the Apache 2.0 license, you can use, copy, modify...
    Downloads: 0 This Week
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  • 2
    Boon Rules

    Boon Rules

    Study the computational basis of human learning and inference

    The main problem of the machine learning is to find a scientific regularity in experimental observations. Many methods may be served - from baseless guesses to an accurate investigation of models - to create a possible scientific interpretation. This approach consider on searching for underlying laws. Laws can be evoked from the massive data sets (genetics, robot sensors, social networks, adverisement) available now (so called the Big Data).
    Downloads: 0 This Week
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