xiaozhiqaing Goto Github PK
Type: User
Type: User
PyTorch implementation for 3D CNN models for medical image data (1 channel gray scale images).
Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection
This is an interactive cloth simulation based on a spring-damper system. One implementation in Matlab and one in Processing. The local processing application is based on Java and the online version (with lower FPS) is based on Javascript.
LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation
Tools to processing LiDAR point cloud
:computer:深度学习实战:手写数字识别、Discuz验证码识别、垃圾分类、语义分割
Deep learning toolbox based on PyTorch for hyperspectral data classification.
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.ai , By Andrew Ng, All slide and notebook + data + solutions and video link
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
"DeepUSPS: Deep Robust Unsupervised Saliency Prediction with Self-Supervision"
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Hyperspectral-Classification Pytorch
收录及复现的高光谱遥感图像分类模型
[NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
notes of machine learning algorithm derivation
收集原版英文杂志并提供下载
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Fast and flexible physics-based battery models in Python
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
PyTorch Tutorials from my YouTube channel
CVPR2018 - pixel embedding & grouping for structured prediction, e.g., instance segmentation
High-Resolution Multispectral Dataset for Semantic Segmentation
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
An implementation of "A Simple Framework for Contrastive Learning of Visual Representatoins" SimCLR
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
经济学人(含音频)、纽约客、自然、新科学人、卫报、科学美国人、连线、大西洋月刊、国家地理等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新.
A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.