Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)
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Updated
Nov 3, 2016 - Python
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)
Various Tensorflow scripts
Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.
An MLP classifier for detecting exploits using hardware information with TensorFlow
Collection of Generative models in TensorFlow
Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning
Easily Transfer TensorFlow 0.12 RNN Model File to TensorFlow 1.0.
An approach to classify hardware requests using a Stacked Denoising Autoencoder with TensorFlow
Clone driving behavior using a deep convolutional neural network (CNN).
Collection of malware detection models using time series data.
Variational autoencoder implementation in tensorflow following the classic paper by Kingma and Welling.
Tensorflow Implementation of Relation Networks for the bAbI QA Task, detailed in "A Simple Neural Network Module for Relational Reasoning," [https://arxiv.org/abs/1706.01427] by Santoro et. al.
A 1D toy example of optimizing a generative model using the WGAN-GP model.
Generating text or lyrics with deep learning.
Tensorflow implementation of Decomposable Attention Model
Convolutional Neural Network Example - Cat vs Dog
TensorFlow implementation of a Neural Turing Machine
Created by Google Brain Team
Released November 9, 2015