Pinned Repositories
ASDA
Implementation of "Semi-supervised Domain Adaptive Structure Learning"
awesome-sign-language-recognition
Resources about awesome sign language recognition and sign language translation: basic, dataset, paper, and code.
awesome_OpenSetRecognition_list
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
CV-arXiv-Daily
分享计算机视觉每天的arXiv文章
diffusers-unicontrol
Diffusers with UniControl (not ready yet)
Efficient_Graph_Similarity_Computation
[NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
PointDAN
Code of NeurIPS19 Paper "PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation".
SceneSketch
SoTA-Point-Cloud
Deep Learning for 3D Point Clouds
UODA
This is the official implementation of SDM-21 paper - "Contradictory Structure Learning for Semi-supervised Domain Adaptation".
canqin001's Repositories
canqin001/PointDAN
Code of NeurIPS19 Paper "PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation".
canqin001/awesome_OpenSetRecognition_list
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
canqin001/CV-arXiv-Daily
分享计算机视觉每天的arXiv文章
canqin001/SoTA-Point-Cloud
Deep Learning for 3D Point Clouds
canqin001/3D-Machine-Learning
A resource repository for 3D machine learning
canqin001/Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
canqin001/awesome-image-classification
A curated list of deep learning image classification papers and codes
canqin001/ChinTsan01.github.io
canqin001/core-algorithm
《算法导论》(第3版) 算法集锦
canqin001/DA_Detection
Implementation of "Strong-Weak Distribution Alignment for Adaptive Object Detection"
canqin001/domain-adaptation
canqin001/Extended-SimGNN
A PyTorch Geometric implementation of SimGNN with some extensions.
canqin001/Generatively-Inferential-Co-Training-for-UDA
Code of ICCVW2019 paper "Generatively Inferential Co-Training for Unsupervised Domain Adaptation"
canqin001/grokking_algorithms
Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)
canqin001/hgcn
Hyperbolic Graph Convolutional Networks in PyTorch.
canqin001/imgaug
Image augmentation for machine learning experiments.
canqin001/Machine_Learning_Tutorials
Code, exercises and tutorials of my personal blog ! 📝
canqin001/OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
canqin001/Point-GNN
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020. https://arxiv.org/abs/2003.01251
canqin001/PointRCNN
The PyTorch Implementation of PointRCNN for 3D Object Detection from Raw Point Cloud, CVPR 2019.
canqin001/PRML
PRML algorithms implemented in Python
canqin001/pyHGT
Pytorch Code for WWW'20 "Heterogeneous Graph Transformer", which is based on pytorch_geometric
canqin001/python_data_structures_and_algorithms
Python 中文数据结构和算法教程
canqin001/synthetic-computer-vision
A list of synthetic dataset and tools for computer vision
canqin001/Transfer-Learning-Library
Transfer-Learning-Library
canqin001/Transfer-learning-materials
resource collection for transfer learning!
canqin001/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
canqin001/Universal-Domain-Adaptation
Code release for Universal Domain Adaptation(CVPR 2019)
canqin001/USTC-CS-Courses-Resource
:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)
canqin001/visda-2018-public