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a-frequency-domain-neural-network-for-fast-image-super-resolution

This is the implementation of paper "A frequency domain neural network for fast image super-resolution".

adjscc

adaptive/attention deep joint source channel coding

aiwave

amplitude-phase-recombination-

[ICCV 2021] Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain

anfic

ANFIC: Image Compression Using Augmented Normalizing Flows

assl

[NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)

chatgpt-next-web2

A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。

chatgpt_academic

科研工作专用ChatGPT/GLM拓展，特别优化学术Paper润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，新增Python和C++项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持gpt-3.5/gpt-4/chatglm

compressai

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

convnext

Code release for ConvNeXt model

cool-chic

This repository contains a neural image codec based on overfitting called COOL-CHIC: Coordinate-based Low Complexity Hierarchical Image Codec. More information available in the paper available on arXiv: COOL-CHIC: Coordinate-based Low Complexity Hierarchical Image Codec, Ladune et al.

cvnn-security

Python/PyTorch code for the ICML 2021 Paper: Improving Gradient Regularization using Complex-Valued Neural Networks

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

dcvc

Deep Contextual Video Compression

ddfnet

The official implementation of the CVPR2021 paper: Decoupled Dynamic Filter Networks

decompose-cnn

CP and Tucker decomposition for Convolutional Neural Networks

deep-jscc-for-images-with-ofdm

Codes for "Deep Joint Source Channel Coding for Wireless Image Transmission with OFDM", accepted by ICC 2021

deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deepmri

The code for paper 'DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution'

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

divide-and-co-training

[TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

djscc-for-wireless-image-transmission

Deep Joint Source-Channel Coding for Wireless Image Transmission

dlvc

dsslic

DSSLIC: Deep Semantic Segmentation-based Layered Image Compression

dvc

DVC: An End-to-end Deep Video Compression Framework, CVPR 2019 (Oral)

dynamic_jscc

Codes for "Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control", ICASSP 2022

edward2

A simple probabilistic programming language.

elan

[ECCV2022] Efficient Long-Range Attention Network for Image Super-resolution

ele2e

elic-reimplemetation

Implemetation of ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding