deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deep-learning-book-chapter-summaries

Attempting to make the Deep Learning Book easier to understand.

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

deeplearning

深度学习、强化学习、模仿学习与机器人

deeply-recursive-cnn-tf

Test implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution

deepupe_pytorch

unofficial inplementation of paper Underexposed Photo Enhancement using Deep Illumination Estimation(2019 CVPR)

deformable-kernels

Deforming kernels to adapt towards object deformation. In ICLR 2020.

deformable-kernels-for-video-denoising

An implement of paper Learning Deformable Kernels for Image and Video Denoising in PyTorch

dehazing-drn

dehrformer

ICASSP 2023 | DEHRFormer: Real-time Transformer for Depth Estimation and Haze Removal from Varicolored Haze Scenes

desn-ccsn

Deep Joint Depth Estimation and Color Correction from Monocular Underwater Images based on Unsupervised Adaptation Networks

dino

Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

distilling-image-dehazing-with-heterogeneous-task-imitation

dl2

DL2 is a framework that allows training neural networks with logical constraints over numerical values in the network (e.g. inputs, outputs, weights) and to query networks for inputs fulfilling a logical formula.

dlib

A toolkit for making real world machine learning and data analysis applications in C++

dmphn-cvpr19-master

Pytorch Implementation of CVPR19 "Deep Stacked Multi-patch Hierarchical Network for Image Deblurring"

do-conv

Depthwise Over-parameterized Convolutional Layer

drg

[ECCV 2020] DRG: Dual Relation Graph for Human-Object Interaction Detection

ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

eccv22-perceiving-and-modeling-density-for-image-dehazing

ECCV'22 Oral | Perceiving and Modeling Density for Single Image Dehazing.

edpn

edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

efficient-pytorch

My best practice of training large dataset using PyTorch.

embedded-project

Embedded project set

enhancement-of-underwater-images-with-statistical-model-of-bl-and-optimization-of-tm

This is Python implementation for a underwater image enhancement paper "Enhancement of Underwater Images with Statistical Model of Background Light and Optimization of Transmission Map"

era-net

fadn

An unofficial code for paper "Learning Frequency-aware Dynamic Network for Efficient Super-Resolution"

fast-visibility-restoration-from-a-single-color-or-gray-level-image

The implement of <fast visibility restoration from a single color or gray level image>.

fastdvdnet

FastDVDnet: A Very Fast Deep Video Denoising algorithm

fiveaplus-network

FiveA+Network: You Only Need 9K Parameters for Underwater Image Enhancement