Showing 5 open source projects for "aras-daemon"

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  • 1
    Hivemind

    Hivemind

    Decentralized deep learning in PyTorch. Built to train models

    Hivemind is a PyTorch library for decentralized deep learning across the Internet. Its intended usage is training one large model on hundreds of computers from different universities, companies, and volunteers. Distributed training without a master node: Distributed Hash Table allows connecting computers in a decentralized network. Fault-tolerant backpropagation: forward and backward passes succeed even if some nodes are unresponsive or take too long to respond. Decentralized parameter...
    Downloads: 0 This Week
    Last Update:
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  • 2
    Docker Machine

    Docker Machine

    Machine management for a container-centric world

    ...You can use Machine to create Docker hosts on your local Mac or Windows box, on your company network, in your data center, or on cloud providers like Azure, AWS, or DigitalOcean. Using docker-machine commands, you can start, inspect, stop, and restart a managed host, upgrade the Docker client and daemon, and configure a Docker client to talk to your host. Point the Machine CLI at a running, managed host, and you can run docker commands directly on that host. For example, run docker-machine env default to point to a host called default, follow on-screen instructions to complete env setup, and run docker ps, docker run hello-world, and so forth. ...
    Downloads: 2 This Week
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  • 3
    Batch File Artificial Intelligence

    Batch File Artificial Intelligence

    Chat bot and free roaming AI in batch

    Included in this project is a simple chat bot, a battle AI, and a swarm based free roaming AI.
    Downloads: 0 This Week
    Last Update:
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  • 4
    openModeller is a complete C++ framework for species potential distribution modelling. The project also includes a graphical user interface, a web service interface and an API for Python.
    Downloads: 11 This Week
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  • 5
    TrimGA is a lightweight genetic algorithm library written in pure Java 6.0 that can be quickly applied to most optimization problems.
    Downloads: 0 This Week
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