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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

bazel

a fast, scalable, multi-language and extensible build system

caffe

Caffe: a fast open framework for deep learning.

carnd-traffic-sign-classifier-project

Classify Traffic Signs.

ccf2020_didi

classproject_dip

数字图像 处理 大作业

collapsedkcore

anchoredKcore The code is for the CKC algorithm, published in the paper "Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem" Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, AAAI 2017

copytranslator

Foreign language reading and translation assistant based on copy and translate.

correlated-subgraphs-mining

CSM 2019

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

dgfraud-tf2

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

fanta

frequent subgraph mining on single uncertain graph

faster-rcnn_tf

Faster-RCNN in Tensorflow

forssd_txt2xml

用caffe实现SSD中，从txt文件格式到xml转变

fuzzing-introduction

按照三部分对模糊测试入门进行介绍：

gaal-based-outlier-detection

GAAL-based Outlier Detection

gman

GMAN

gpn_graph-few-shot

Implementation of CIKM2020 -- Graph Prototypical Networks for Few-shot Learning on Attributed Networks

grami

GraMi is a novel framework for frequent subgraph mining in a single large graph, GraMi outperforms existing techniques by 2 orders of magnitudes. GraMi supports finding frequent subgraphs as well as frequent patterns, Compared to subgraphs, patterns offer a more powerful version of matching that captures transitive interactions between graph nodes (like friend of a friend) which are very common in modern applications. Also, GraMi supports user-defined structural and semantic constraints over the results, as well as approximate results. For more details, check our paper: Mohammed Elseidy, Ehab Abdelhamid, Spiros Skiadopoulos, and Panos Kalnis. GRAMI: Frequent Subgraph and Pattern Mining in a Single Large Graph. PVLDB, 7(7):517-528, 2014.

graphembedding

Implementation and experiments of graph embedding algorithms.

gspan

Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.

gupdater

Code for EMNLP 2019 paper "Learning to Update Knowledge Graphs by Reading News"

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。

javasuanfa

keras_ssd

A Clear SSD Implementation in Keras and TensorFlow with Training and Predict.

kged

Knowledge Graph Error Detection

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

madan

Multi-scale Anomaly Detection on Attributed Networks