Tor4k's repositories
adagio
Structural Analysis and Detection of Android Malware
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
CADE
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
CapsNet-pytorch
PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules
ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Conference-Acceptance-Rate
Acceptance rates for the major AI conferences
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Efficient-CapsNet
Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
GraphNeuralNetwork
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
hetsann
Source Codes of HetSANN in the AAAI'20 paper: An Attention-based Graph Nerual Network for Heterogeneous Structural Learning.
labelImg
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
license-plate-detect-recoginition-pytorch
深度学习车牌检测与识别，基于pytorch框架运行
LightGCN-PyTorch
The PyTorch implementation of LightGCN
malnet-graph
A large-scale database for graph representation learning
malware-classification
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
MalwareDatabase
This repository is one of a few malware collections on the GitHub.
Neurlux
Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering
open-aff
code and trained models for "Attentional Feature Fusion"
OpenHGNN
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
packware
Effects of packers on machine-learning-based malware classifiers that use only static analysis
Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
paper-reading
深度学习经典、新论文逐段精读
ResGCNv1
ResGCN: an efficient baseline for skeleton-based human action recognition.
ResnetGPT
用Resnet101+GPT搭建一个玩王者荣耀的AI
RIFRE
Representation Iterative Fusion Based on Heterogeneous Graph Neural Network for Joint Entity and Relation Extraction