This serves as my final submission for Google Summer of Code 2021 project.
Designing and Recreating new NLP TensorFlow Lite examples. This includes BERT Question and Answering, Text classification using the TensorFlow Lite Task Library which will be showcased in TensorFlow Lite examples. As a GSoC student, my task was to update the existing Natural Language Processing examples for these 2 tasks to use the TensorFlow Lite Task Library instead of custom code.
UIKit version screen cast | SwiftUI version screen cast |
The TFLite model for BertNLClassifier API is not available yet (TFLite team is working on it), when it becomes available it will be integrated into the Text Classification Android Example, and we may also redesign the app to have separate Android library modules of Task API and Interpreter to show both of the implementations.
These are the contributions I made, which are not related to my project:
No. | Description | PR Link |
---|---|---|
0 | Resized the super resolution android screenshot | #328 |
1 | App screenshot added to Image classification android example | #329 |
2 | Changed readme title of text classification IOS sample | #334 |
3 | Added App Screenshot to Object Detection Android example | #335 |
4 | Updated Text Classification Android readme with latest links | #337 |
My Google Summer of Code Experience was awesome ❤️ and a large part of this great experience was the good mentoring of Meghna Natraj, George Soloupis, Margaret Maynard-Reid, Lu Wang, Le Viet Gia Khanh, Tian Tian and TensorFlow Team.
I thank them for their constant guidance, code reviews, timely feedback, help and most importantly, for their dedicated advice and encouragement throughout GSoC. I would definitely love to contribute more in the future to the TensorFlow.
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