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Name: Shane Wang
Type: User
Bio: Machine Learning Engineer at Meituan
Location: Beijing, China
Name: Shane Wang
Type: User
Bio: Machine Learning Engineer at Meituan
Location: Beijing, China
Code to extract stereo frame pairs from 3D videos, as used in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"
PyTorch code for the "Deep Neural Networks with Box Convolutions" paper
Codes for Learning Affinity via Spatial Propagation Networks
Official implementation of Efficient Cascading Residual Network for SR
The pytorch Implementation of the Classification Problem of Cat Vs Dog
CCNet achieves the state-of-the-art performance on Cityscapes and ADE20K.
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
Unofficial Faster PyTorch implementation of Convolutional Spatial Propagation Network
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!
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
Dual Attention Network for Scene Segmentation (CVPR2019)
Deep Depth Completion of a Single RGB-D Image
All version of deeplab implemented in Pytorch
DeepLab v3+ model in PyTorch
Deep learning tutorial in Chinese/深度学习教程中文版
Pytorch implementation of Deformable Convolutional Network
A graph-based framework to refine a noisy and possibly incomplete depth map and estimate the corresponding normal map.
PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation
Pytorch code for semantic segmentation using ERFNet
Pytorch Implementation of Deeper Depth Prediction with Fully Convolutional Residual Networks
General distributed training framework based on Pytorch
Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)
GM(1,1)灰度系统预测模型
From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)
High-resolution representation learning (HRNets) for Semantic Segmentation
A Framework for the Volumetric Integration of Depth Images
Image Processing for Basic Depth Completion
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。
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.