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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。

dlaicourse

Notebooks for learning deep learning

dncnn-pytorch

PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

dped

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

drawheatmap

eccv2020_cucanet

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution, ECCV, 2020. (PyTorch)

facequalityevaluation

faster-rcnn-pytorch

这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。

ffdnet

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

ffdnet-pytorch

fid_calculation

fourier_optical_processing_linux

fourieropticalpreprocessing

gan_specialization_my_implementation

global_wheat_detection

guide_to_build_faster_rcnn

h-cdm

handgesturedetion

hdrnet

An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017

head-first-design-patterns

Code for Head First Design Patterns book (2014)

hello-world

how_to_use_bm4d

hsi_data_preprocing

hsie

hyperspectral-image-denoising-benchmark

A list of hyperspectral image denoising resources collected by Yongsen Zhao and Junjun Jiang.

hyperspectraldataset2_process

imagedenoisinggan

Image Denoising with Generative Adversarial Network

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

imagen-pytorch_notebook

imageprocessmatlabdemo