Popular GitHub Repositories for Eager Execution

TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT

Faster R-CNN R-101-FPN model was implemented with TensorFlow2.0 eager execution.

Eagerly Experimentable!!!

In this project I implement Neural Machine Translation using Attention mechanism. The code is written using the TensorFlow library in Python. I have used TensorFlow functionalities like tf.data.Dataset to manage the input pipeline, Eager Execution and Model sub classing to create the model architecture.

This repository contains a notebook for object detection with the help of fine tuning of a (TF2 friendly) RetinaNet architecture on very few examples of a novel class after initializing from a pre-trained COCO checkpoint. Training runs in eager mode.

This repository contains Various Techniques that can be used for object detection.

Using an RNN to make predictions about redactions from the Mueller report