a fast range coder in C++, using SSE

Code for our paper "Visual Learning of Arithmetic Operations" AAAI 16'

Using Discrete Fourier Transform to compress images

Keras implementations of BinaryNet and XNORNet

Implement BinaryNet of CNN with chainer

TensorFlow implementation of a semi-supervised binary classification neural network.

Data compression using LSTM in TensorFlow

Neuarl Network for Binary to Decimal Conversion using Tensorflow

An example of visualization of weights and output of convolutional layers

Semantic JPEG image compression using deep convolutional neural network (CNN)

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

Code to reproduce results from the paper: "Compressed Sensing using Generative Models".

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

BNN implementation in tensorflow

This is the codes for paper "Learning Convolutional Networks for Content-weighted Image Compression"

Neural Network Image Compression

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to …

Clear implementation of Huffman coding for educational purposes in Java, Python, C++.

Gitbook based Blog, Android, Linux, Deep Learning, Computer Vision

This repository contains the source for the paper "Analysing Image Compression using Generative Adversarial Networks"

A collection of deep learning tutorials using Tensorflow and Python

Models and examples built with TensorFlow

A technical report on convolution arithmetic in the context of deep learning

subpixel: A subpixel convnet for super resolution with Tensorflow