Showing 5 open source projects for "neuron"

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  • 1
    AWS Neuron

    AWS Neuron

    Powering Amazon custom machine learning chips

    AWS Neuron is a software development kit (SDK) for running machine learning inference using AWS Inferentia chips. It consists of a compiler, run-time, and profiling tools that enable developers to run high-performance and low latency inference using AWS Inferentia-based Amazon EC2 Inf1 instances. Using Neuron developers can easily train their machine learning models on any popular framework such as TensorFlow, PyTorch, and MXNet, and run it optimally on Amazon EC2 Inf1 instances. ...
    Downloads: 0 This Week
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  • 2
    NanoNeuron

    NanoNeuron

    NanoNeuron is 7 simple JavaScript functions

    Nano-Neuron is a didactic project that reduces the idea of a neuron to a handful of tiny JavaScript functions so learners can see “learning” in action without heavy frameworks. It demonstrates how a scalar input can be linearly transformed with a weight and bias, then adjusted via gradient updates to fit a simple mapping such as Celsius-to-Fahrenheit conversion.
    Downloads: 0 This Week
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  • 3
    Neuron

    Neuron

    Future-proof note-taking and publishing based on Zettelkasten

    Neuron is a Zettelkasten-based note-taking system and static site generator built in Haskell. It allows users to manage interlinked notes using plain-text Markdown files, which are automatically rendered into a web-based knowledge base. Neuron supports incremental builds, backlinks, and efficient navigation across linked content, making it ideal for personal knowledge management, digital gardens, and wikis.
    Downloads: 0 This Week
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  • 4

    CoAP On Lonworks

    CoAP protocol for Neuron 6000 IC

    CoAP-On-Lon is a very simple CoAP server protocol implementation from scratch, for Neuron 6000 Chips & Izot Router. See Code for the content. Lonworks, Neuron, Nodebuilder, Izot are trademarks of Echelon Corporation.
    Downloads: 0 This Week
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  • 5
    Amygdala is a C++ spiking neural network library. It includes several neuron models, SMP support and facilities for developing SNNs with genetic algorithms. Support for running Amygdala neural networks on workstation clusters and MPPs is also under way
    Downloads: 2 This Week
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