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.

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