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  • 1
    Appfl

    Appfl

    Advanced Privacy-Preserving Federated Learning framework

    APPFL (Advanced Privacy-Preserving Federated Learning) is a Python framework enabling researchers to easily build and benchmark privacy-aware federated learning solutions. It supports flexible algorithm development, differential privacy, secure communications, and runs efficiently on HPC and multi-GPU setups.
    Downloads: 0 This Week
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  • 2
    Beta9

    Beta9

    Run serverless GPU workloads with fast cold starts on bare-metal

    beta9 is a platform that enables running serverless GPU workloads with fast cold starts on bare-metal servers globally. It allows developers to deploy and scale GPU-accelerated applications without managing underlying infrastructure, offering flexibility and efficiency for AI and high-performance computing tasks. beta9 supports various frameworks and provides tools for monitoring and managing deployments effectively.
    Downloads: 14 This Week
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  • 3
    Kaleidoscope-SDK

    Kaleidoscope-SDK

    User toolkit for analyzing and interfacing with Large Language Models

    kaleidoscope-sdk is a Python module used to interact with large language models hosted via the Kaleidoscope service available at: https://github.com/VectorInstitute/kaleidoscope. It provides a simple interface to launch LLMs on an HPC cluster, asking them to perform basic features like text generation, but also retrieve intermediate information from inside the model, such as log probabilities and activations. Users must authenticate using their Vector Institute cluster credentials. This can be done interactively instantiating a client object. This will generate an authentication token that will be used for all subsequent requests. ...
    Downloads: 0 This Week
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  • 4
    T81 558

    T81 558

    Applications of Deep Neural Networks

    ...Application of these architectures to computer vision, time series, security, natural language processing (NLP), and data generation will be covered. High-Performance Computing (HPC) aspects will demonstrate how deep learning can be leveraged both on graphical processing units (GPUs), as well as grids.
    Downloads: 0 This Week
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  • 5

    rt-agents

    Agent system for HPC real time applications

    Agent system for HPC real time applications
    Downloads: 0 This Week
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  • 6
    EECluster

    EECluster

    Tool for energy-efficient resource management in HPC clusters

    EECluster is software tool for managing the energy-efficient allocation of the cluster resources. EECluster uses a Hybrid Genetic Fuzzy System as the decision-making mechanism that elicits part of its rule base dependent on the cluster workload scenario, delivering good compliance with the administrator preferences. In the latest version, we leverage a more sophisticated and exhaustive model that covers a wider range of environmental aspects and balances service quality and power...
    Downloads: 0 This Week
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  • 7
    ...Simplest API The smallest, simplest, fastest Modern ANPR SDK CANPRIC is a modern ANPR/LPR engine, which based on machine learning and high performance computing(HPC). The ambition of CANPRIC is leading the ANPR industry into intelligent times and using the HPC technique to get high speed of processing.
    Downloads: 1 This Week
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  • 8
    minder

    minder

    Monitoring your infrastructure for free.

    This software presents a flexible and configurable proposal for monitoring and management of real and virtual HPC infrastructures, compatible with paradigm of cloud computing. We help you to answer: 1) What is the performance of my resources? 2) What equipment and resources do we have already? 3) What do we need to upgrade or repair? 4) What can we consolidate to reduce complexity or reduce energy use? 5) What resources would be better reused somewhere else?
    Downloads: 0 This Week
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