TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

Yolo-v3 model was implemented with tf2 eager style. I also implemented the eager model's training function and applied it to other datasets (digit detector, vehicle detector).

Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution

Reproducing the paper "PADAM: Closing The Generalization Gap of Adaptive Gradient Methods In Training Deep Neural Networks" for the ICLR 2019 Reproducibility Challenge

A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.

This repository reimplemented "MC Dropout" by tensorflow 2.0 Eager Extension.

Keras, Tensorflow eager execution implementation of Categorical Variational Autoencoder

This repo is useless after TF 2.0 is released, `tf.function` does everything to convert a eager function to graph

Implementation of the paper Learning to reinforcement learn(https://arxiv.org/abs/1611.05763)

Samples of TensorFlow Eager Execution

Deep Learning Models using Tensorflow & Keras

In this project I tried to replicate tensorflow pix to pix model on different dataset.