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GSOC 2022 PROJECT

Developing demos for TensorFlow Lite Micro

Contributor
Ayyuce Demirbas
Mentor
Paul Ruiz
Organization
TensorFlowData
Program
GSoC 2022Completed

About this project

Description from the program archive

This project aims to develop machine learning projects for microcontrollers. This project is a little bit challenging because it is hard to make predictions with machine learning algorithms on a device that has limited memory and computational power. Besides, we need to optimize the power consumption. For this project, I aim to finish 4 demos until the final evaluations.

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  1. Develop demos for TensorFlow Lite Micro

    VishwaMentored by Paul Ruiz

  2. Tensorflow/JAX project — "JAX ML Textbook"

    XinglongMentored by Kevin Murphy

  3. ArcFace Loss Implementation for Tensorflow Similarity

    Aylin AydınMentored by Yusuf Sarıgöz

  4. Kaggle examples for TensorFlow Decision Forests

    Rishiraj AcharyaMentored by Josh Gordon

  5. Develop new models and examples for TensorFlow-Hub

    Mohammad ShoaibMentored by Gustavo

  6. Deep Care

    Mayuresh G AgasheMentored by Josh Gordon

  7. Addition of new losses to tensorflow similarity

    AbhisharMentored by Yusuf Sarıgöz

  8. JAX ML Textbook

    Giles Harper-DonnellyMentored by Kevin Murphy

  9. Contribute to KerasCV and KerasNLP

    Aditya KaneMentored by Sayak Paul, Luke Wood

  10. JAX ML TEXTBOOK

    KARM PATELMentored by Kevin Murphy

  11. Develop NLP examples using HuggingFace Transformers

    Sreyan GhoshMentored by Vasudev Gupta

Data: Google Summer of Code public archive. This project in the official archive