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🤘 awesome-semantic-segmentation
List of datasets, codes, and contests related to remote sensing change detection
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
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)
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
CV算法岗知识点及面试问答汇总,主要分为计算机视觉、机器学习、图像处理和 C++基础四大块,一起努力向offers发起冲击!
记录cv算法工程师的成长之路,分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/
EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
GPU Sharing Scheduler for Kubernetes Cluster
PyTorch training/tool code for Polygon-RNN++ (CVPR 2018)
GeekLiB / Lee-SLAM-source
Forked from AlbertSlam/Lee-SLAM-sourceSLAM 开发学习资源与经验分享
A collection of various deep learning architectures, models, and tips
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Official Python client library for kubernetes
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.
Python 练习册,每天一个小程序
Your new Mentor for Data Science E-Learning.
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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
PyTorch for Semantic Segmentation
Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.