[KerasNLP] Adding Metrics, Decoding Strategies, Model Encoder Blocks and Data Augmentation APIs
Abheesht Sharma
KerasNLP is a library for building NLP building blocks such as model layers, metrics, tokenizers, text processing/augmentation techniques, etc. I...
Addition of new losses to tensorflow similarity
Abhishar
I propose to add new loss functions which make improvements over the existing ones for metric learning. I also propose to improve documentation and...
Contribute to KerasCV and KerasNLP
Aditya Kane
This project aims to add several functionalities to Keras-CV which will be of use to beginner as well as seasoned practitioners. I will be...
Adding Native Support for Text Data Augmentation in KerasNLP alongside Tutorials
Aflah
Data Scarcity is a Huge and Evergrowing Problem as new tasks and problems are tackled. Sometimes collecting substantial amount of data is almost...
Contribute to TensorFlow Similarity
Aylin Aydın
Metric learning is a collection of machine learning approaches for learning to assess similarities and differences between data points from various...
Developing demos for TensorFlow Lite Micro
Ayyuce Demirbas
This project aims to develop machine learning projects for microcontrollers. This project is a little bit challenging because it is hard to make...
Contribute to KerasCV and KerasNLP
doubiiii
Summary: KerasCV and KerasNLP are libraries building industry-strength Computer Vision and Natural Language Processing workflows for Keras. In this...
JAX ML Textbook
Giles Harper-Donnelly
The project will be making contributions to the PyProbML repo helping to build demonstrations and reference implementations for probabilistic machine...
Harsh Shah - Develop healthcare examples using Keras
Harsh Shah
The aim of this project is to create healthcare examples using Keras. I plan to implement new tutorials for: 1. Diabetic Retinopathy detection using...
JAX ML TEXTBOOK
KARM PATEL
I will potentially work towards the following problems during the GSoC: 1) I am excited to implement advanced algorithms in JAX and create/re-produce...
See-Through-Heart
Mayuresh Agashe
Today, Cardiovascular Diseases (CVDs) claim most of the lives across the globe. Considering the gravity of this situation, analyzing, and diagnosing...
Develop new models and examples for TensorFlow-Hub
Mohammad Shoaib
I am proposing to publish 4 Collections of models to TF-Hub containing a total of 23 models. Collections will be published from the following models-...
Expanding the JAX SSM Library & Exploring Particle-Based Variational Inference (JAX ML Textbook)
Peter G. Chang
For this project, I plan to explore state space models(SSM) and variational inference(VI) in depth. First, I will translate legacy numpy/PyTorch...
Kaggle examples for TensorFlow Decision Forests
Rishiraj Acharya
Today libraries like XGBoost and LightGBM dominate most Kaggle competitions on tabular data and achieve state-of-the-art results on a variety of...
Profiling and Optimising Energy Consumption for TF Lite Models.
Rishiraj Adhikary
There is a spurt of pretrained edge machine learning models that can be quickly deployed in microcontrollers, thanks to TensorFlow Lite. Reducing RAM...
New Batch of demos for TensorFlow Lite Micro
rram12
During this edition of GSoC, I want to contribute with 3 demos/examples for Tensorflow Lite Micro. The first project will be a Face/Eye door locker...
Implementation of State-of-the-Art Components in Object Detection for KerasCV
Sarvagya Malaviya
Previous iterations of GSoC combined with recent community contributions have helped TensorFlow catch up with the SOTA in image classification....
Publish fine-tuned CoAtNet and MobileViT in TensorFlow Hub
Sayan Nath
TensorFlow Hub is the main TensorFlow model repository with thousands of pre-trained models with documentation, sample code and readily available to...
Develop NLP examples using HuggingFace Transformers
Sreyan Ghosh
In this project, I propose to create NLP examples using transformer implementations from the Hugging Face Library; by developing easy-to-use and...
Tutorials for Object Detection Models
stein
This proposal aims to provide Tensorflow with more object detection models and tutorial examples. The plan consists of adding...
Develop Kaggle examples for TensorFlow Decision Forests
Vansh
TensorFlow Decision Forests is a popular new library that adds support for tree-based models like random forests, and gradient-boosted trees to...
Develop demos for TensorFlow Lite Micro
Vishwa
In this project, I'll be building demos for TensorFlow Lite Micro, to be used in conferences and Machine Learning Courses. My plan is to build these...
Tensorflow/JAX project — "JAX ML Textbook"
Xinglong
The aim of this project is to implement various advanced machine learning algorithms for the upcoming textbook "Probabilistic Machine Learning:...
Develop JAX examples and demos for an ML upcoming textbook
Zeel B Patel
I propose to address the existing challenges with the current codebase of the book and then contribute new code for several figures for the upcoming...