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ReactiveUI

An advanced, composable, functional reactive model-view-viewmodel framework for all .NET platforms that is inspired by functional reactive programming. ReactiveUI allows you to abstract mutable state away from your user interfaces, express the idea around a feature in one readable place and improve the testability of your application.

  • Updated May 1, 2022
  • C#
myungjoo
myungjoo commented Apr 2, 2022

We can get the code from https://twitter.com/rafaelcaricio/status/1509856495927808038?cxt=HBwWzMC-2fiei_QpAAAA&cn=ZmxleGlibGVfcmVjcw%3D%3D&refsrc=email and write a few subplugins that can provide an example pipeline with nnstreamer in the form of

... ! tensor_converter ! tensor_filter fw=custom ${some pre-proc code from vosk} ! tensor_filter ${NN model} ! tensor_decoder ${some post-proc
good first issue backlog
kparichay
kparichay commented Dec 20, 2021

Gradients currently use initializer::ZEROS which initializes the gradient for the first iteration.
However, gradients are not initialized to zero for the next iterations and the layer is expected to initialize the gradients to zero if expected.

To maintain this consistency, gradients should be initialized for initializer::NONE.

good first issue

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