Simplifying AI to FPGA deployment, looking for opportunities

This page summarizes the projects mentioned and recommended in the original post on /r/FPGA

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  • nngen

    NNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network

  • Yes, like u/ComeGateMeBro, I also thought of hls4ml, and also something else I just found from Japan: NNgen, https://github.com/NNgen/nngen

  • larq

    An Open-Source Library for Training Binarized Neural Networks

  • It is a difficult question. I work almost exclusively with open source, so I'm not much use to give you advice. Maybe you can see how Plumerai handles things -- they have some stuff proprietary, but they've also open-sourced their BNN Larq stuff: https://github.com/larq/larq

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • finn-examples

    Dataflow QNN inference accelerator examples on FPGAs

  • FINN can implement arbitrary and mixed precision DNNs, not just BNNs. There is an examples git repo: https://github.com/Xilinx/finn-examples

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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