Xev1L's Stars
zergtant/pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
ngcthuong/Reproducible-Deep-Compressive-Sensing
Collection of reproducible deep learning for compressive sensing
ricedsp/D-AMP_Toolbox
This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.
yangyan92/Deep-ADMM-Net
aresmiki/CS-Recovery-Algorithms
EddyGao/make_VOC2007
制作自己的VOC2007数据集用于faster-rcnn目标检测模型训练
guanfuchen/objdet
实现常用的one-stage和two-stage目标检测网络 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg
wzhshi/TIP-CSNet
The training codes, the training data, and some pre-trained models for my TIP paper "Image Compressed Sensing using Convolutional Neural Network".
EddyGao/SRG
种子区域生长法图像分割
jiang-du/Perceptual-CS
Official code for papers "Perceptual Compressive Sensing" at PRCV 2018 and "Fully Convolutional Measurement Network for Compressive Sensing Image Reconstruction" at Neurocomputing 2019.
fhlt/X-
安检机X光目标检测识别