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a2n

PyTorch code for our paper "Attention in Attention Network for Image Super-Resolution"

adacode

apollo

An open autonomous driving platform

arithmetic-code

this is a full impolementation of finite precision Arthimetic encoder / decoder done by integer operations the algorithm is based upon stanford paper Arethmetic coding for data compression by IAN H. WIllEN, RADFORD M. NEAL, and JOHN G. CLEARY A very helpful tutorial I found on Youtube

arithmetic-coding

🗃 Implementation of encoding and decoding of Arithmetic-Coding algorithm using python..

arithmeticcoding

Arithmetic Coding - Done in a Jupyter environment written in Python 3

autoencodercompression

Learned Image Compression Using Autoencoder Architecture

autogan

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

book

cae

Compressive Autoencoder.

class-specific-neural-network-for-video-compressed-sensing

Reference codes for our ISCAS 2021 paper, "Class-specific neural network for video compressed sensing"

cnn_model

coen281-wi21

Class repo for COEN 281, Winter 2021

compressai

A PyTorch library and evaluation platform for end-to-end compression research

compressed-sensing-csnet

“DEEP NETWORKS FOR COMPRESSED IMAGE SENSING”，this is my repetition

compression

Data compression in TensorFlow

compression-1

Learned image compression

compression-dct

Implementation of Image compression using DCT

context_adaptive_neural_network_based_prediction

Context-adaptive neural network based prediction for image compression https://arxiv.org/abs/1807.06244

cs-222-project

CS 222 Project

csnet-pytorch

Pytorch code for paper "Deep Networks for Compressed Image Sensing" and "Image Compressed Sensing Using Convolutional Neural Network"

cuttlefish_low_rank

The implementation for MLSys 2023 paper: "Cuttlefish: Low-rank Model Training without All The Tuning"

dcec

deep-learning-for-block-level-compressive-video-sensing

Reference codes for our ISCAS 2020 paper, "Deep Learning for Block-Level Compressive Video Sensing"

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-visual-attention-prediction

Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.

denoisecompression

[ECCV2022] Optimizing Image Compression via Joint Learning with Denoising

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

gan_practice

generative-compression

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression