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996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

adadm

AdaDM: Enabling Normalization for Image Super-Resolution

admm

Solving Statistical Optimization Problems Using the ADMM Algorithm

admm_release

Matlab/Python code for the ADMM part of my thesis ''Alternating Optimization: Constrained Problems, Adversarial Networks, and Robust Models''

attention-transfer

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

autoencoder_based_image_compression

Autoencoder based image compression: can the learning be quantization independent? https://arxiv.org/abs/1802.09371

awesome-automl

Curating a list of AutoML-related research, tools, projects and other resources

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

binarynet-tensorflow

bmxnet

BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet

cacu

This is a deep learning framework for cnn which using xnor method to accelerate calculating convolution layer on cpu.

caffe-tensorflow

Caffe models in TensorFlow

capsule

A Capsule Implement with Pure Keras

chatgpt-next-web

One-Click to deploy well-designed ChatGPT web UI on Vercel. 一键拥有你自己的 ChatGPT 网页服务。

contextualloss

The Contextual Loss

cpp-primer

C++ Primer 5 answers

cross-scale-non-local-attention

PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020).

cvpr18-sftgan

Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dcscn-super-resolution

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

deep-image-analogy-pytorch

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

deep-image-prior

Image restoration with neural networks but without learning.

deep-learning-book

《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville

deep-photo-styletransfer

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

deep_biq

Deep learning way for blind image quality assessment

deepiqa

NR and FR IQA models based on Deep Convolutional Neural Networks

deepo

A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.

dlsn

This project is for DLSN introduced in the following paper "Global Learnable Attention for Single Image Super-Resolution".

dped

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks