TinyML: Deploying TensorFlow models to Android

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • These-People-Do-Not-Exist

    AI that generates human faces which have never been seen before. The future is now 😁

    A while back, researchers at NVIDIA released StyleGAN, a machine learning model that synthesizes images of pretty much anything from random noise, say images of landscapes, art, people, or vehicles. I saw a demo of it and it honestly blew my mind. Shortly after I implemented StyleGAN myself.

  • IAmNotReal

    App that uses machine learning to generate human faces

    I decided to take on the challenge of deploying it to Android to prove that even the most advanced deep learning models can run on edge devices. Here is the android app for you to try out and play with, and here is its source code.

  • 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.

  • stylegan2-pytorch

    Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

    A while back, researchers at NVIDIA released StyleGAN, a machine learning model that synthesizes images of pretty much anything from random noise, say images of landscapes, art, people, or vehicles. I saw a demo of it and it honestly blew my mind. Shortly after I implemented StyleGAN myself.

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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