Showing 4 open source projects for "concept-graph.js"

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    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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  • 1
    OneFlow

    OneFlow

    OneFlow is a deep learning framework designed to be user-friendly

    ...Distributed performance (efficiency) is the core technical difficulty of the deep learning framework. OneFlow focuses on performance improvement and heterogeneous distributed expansion. It adheres to the core concept and architecture of static compilation and streaming parallelism and solves the memory wall challenge at the cluster level. world-leading level. Provides a variety of services from primary AI talent training to enterprise-level machine learning lifecycle integrated management (MLOps), including AI training and AI development, and supports three deployment modes of public cloud, private cloud and hybrid cloud.
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  • 2
    TurboPilot

    TurboPilot

    Open source large-language-model based code completion engine

    TurboPilot is a self-hosted copilot clone that uses the library behind llama.cpp to run the 6 Billion Parameter Salesforce Codegen model in 4GiB of RAM. It is heavily based and inspired by on the fauxpilot project. This is a proof of concept right now rather than a stable tool. Autocompletion is quite slow in this version of the project. Feel free to play with it, but your mileage may vary.
    Downloads: 0 This Week
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  • 3
    LifeAI is an artificial intelligence system that can be applied to robotics, games, or business. It simulates key processes of our minds, such as organizing data into concepts and categories, planning actions based on their predicted outcome, and communication. LifeAI was designed to be simple, but powerful and flexible enough to have many applications.
    Downloads: 0 This Week
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  • 4
    Hello AI World

    Hello AI World

    Guide to deploying deep-learning inference networks

    ...We’ll provide you with all the tools you need, including easy to follow guides, software samples such as TensorRT code, and even pre-trained network models including ImageNet and DetectNet examples. Follow these directions to integrate deep learning into your platform of choice and quickly develop a proof-of-concept design.
    Downloads: 2 This Week
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