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contextual-loss-pytorch

An implement of contextual loss using PyTorch.

contextual_loss_pytorch

Contextual Loss (CX) and Contextual Bilateral Loss (CoBi).

coursera_image-processing-features-segmentation

covid19_imaging_ai_paper_list

COVID-19 imaging-based AI paper collection

crx-selection-translate

让浏览任意语言的网站变得无比轻松的浏览器扩展程序。

cs131_notes_zh-cn

CS131 斯坦福课程课件中英文版

cs413-image-segmentation

Code for CS413 - Image and Video Analysis coursework

cs766_project

This repository contains all code needed to locate, segment, and place a 3cm diameter sphere in the liver on PET images

cumulusbegone

EECS 442 Final Project: segmenting and removing clouds from images containing sky

curvaturefilter

Curvature Filters are efficient solvers for Variational Models

cv-pretrained-model

A collection of computer vision pre-trained models.

cvpr2020-code

CVPR 2020 论文开源项目合集

cvrp-lib

An entry level set of classes for fast-prototyping CVRP algorithms.

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。

dacn

Deep Active Contour Network for Medical Image Segmentation

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

ddsmutility

Utility to greatly simplify downloading, converting, viewing and extracting annotations from the Digital Database for Screening Mammography (DDSM) database available here: http://marathon.csee.usf.edu/Mammography/Database.html

deep-acm

Deep Active Contour Models for Calving Front Detection

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

deep-learning-resources

由淺入深的深度學習資源 Collection of deep learning materials for everyone

deep-learning-with-pytorch-chinese

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deeplearning

Python for Deep Learning，《深度学习》数学推导、原理与代码实现

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deformable-models-project

Project on deep active contours for deformable models class

delse

PyTorch code for Deep Extreme Level Set Evolution (CVPR 2019)

depth_with_segmentation

depth estimation with image segmentation