the-shuai Goto Github PK

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-few-shot-class-incremental-learning

awesome-incremental-learning

Awesome Incremental Learning

awesome-papers-fewshot

Collection for Few-shot Learning

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

ban-vqa

Bilinear attention networks for visual question answering

bi-srnet

cec-cvpr2021

Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"

change-detection-review

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

co3

Python code to implement CO3, a fundamental-model based approach for open-world few-shot learning.

coastseg

The mapping extension for CoastSat and Zoo; carry out image segmentation on coastal satellite imagery datacubes

code-server

Run VS Code on a remote server.

consingan

PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)

cvpr-2021-papers

deep-hyperedges

New Algorithms for Learning on Hypergraphs

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deil

Python code to implement DeIL, a CLIP based approach for open-world few-shot learning.

dhgnn

DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"

dynnet

Implementation of 'DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation' [CVPR 2022]

fddl

Fisher Discriminative Dictionary Learning

few-shot-classification-leaderboard

Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.

few-shot-gnn

fscil

Official repository for Few-Shot Class-Incremental Learning (FSCIL)

gnnpapers

Must-read papers on graph neural networks (GNN)

graphneuralnetwork

《深入浅出图神经网络：GNN原理解析》配套代码

graphsage-pytorch

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

graphsage-simple

Simple reference implementation of GraphSAGE.

group-cam

Code for paper: Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks

hgnn

Hypergraph Neural Networks (AAAI 2019)

hrnet-semantic-segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919