pointcloudyc Goto Github PK
Name: Chao YIN 尹超
Type: User
Company: HKUST
Bio: Ph.D. from the HKUST, interested in 3D deep learning, point cloud processing, and BIM modeling.
Location: HONG KONG, China
Name: Chao YIN 尹超
Type: User
Company: HKUST
Bio: Ph.D. from the HKUST, interested in 3D deep learning, point cloud processing, and BIM modeling.
Location: HONG KONG, China
A resource repository for 3D machine learning
Adaptive Graph Convolution for Point Cloud Analysis
A curated (most recent) list of resources for Learning with Noisy Labels
A PyTorch implementation of the Transformer model in "Attention is All You Need".
A codebase and a curated list of awesome deep long-tailed learning.
A list of papers and datasets about point cloud analysis (processing)
[CVPR 2021] CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation
A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)
CloudCompare main repository
Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 2022)
Machine learning-Stanford University
This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).
Code examples in pyTorch and Tensorflow for CS230
Towards Classification of Architectural Styles of Traditional Settlements using DL: A Dataset, a New Framework, and Its Interpretability
[AAAI 21] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164
(ICCV 2021 Oral) Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation.
Keras code and weights files for popular deep learning models.
A curated list of primary sources on applying deep learning on point cloud data.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Pytorch Lightning code guideline for conferences
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep learning model zoo with TensorFlow 2.X (& Keras)
DeepVision3D is an open source toolbox for point-cloud understanding.
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
recording and plan for Msc. point cloud project
My dotfiles. Mainly customisations for Vim and Bash.
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.