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500lineorless_cn

500 line or less 中文翻译计划。

anomaly-detection-kdd99-cnnlstm

Intrusion Detection System using Machine Learning and Deep Learning

api_automation_test

接口自动化测试平台，已停止维护，看心情改改

autotest

Autotest - Fully automated tests on Linux

avocado

Avocado Test Framework

avocado-vt

Avocado VT Plugin

awesome-blockchain-cn

收集所有区块链(BlockChain)技术开发相关资料，包括Fabric和Ethereum开发资料

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-python-webapp

小白的Python入门教程实战篇：网站+iOS App源码→ http://t.cn/zQXcs9S 赞助→ http://t.cn/R5bhVpf

blog_mini

An Open Source Blog System that developed with Flask.

ceph

Ceph is a distributed object, block, and file storage platform

cnn-bilstm-attention-time-series-prediction_keras

CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras

covid-19-forecasting

This repository contains the code for the paper: The effects of regularization on RNN models for time series forecasting: Covid-19 as an example.

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

dbn-based-nids

An Intrusion Detection System based on Deep Belief Networks

deeplearning_timeseries

Evaluation of shallow and deep learning models for multi-step-ahead time series prediction

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

doraemon

Doraemon-接口自动化测试工具

dqn_intrusion

A repository for a Deep Q-Learning approach to intrusion detection for networks cyber-attacks.

e-resgat

The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.

forecastnet

Code for the paper entitled "ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting"

frpmgr

Frp快速配置面板

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

hosts

镜像：https://coding.net/u/scaffrey/p/hosts/git

ieee-big-data-2020

Repository for IEEE Big Data Challenge 2020 "Road Damage Detection".

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

inspektor

Inspektor code checker

intrusion-and-anomaly-detection-with-machine-learning

Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.

intrusion-detection-big-data

intrusion-detection-system

This project is a network intrusion detector that uses machine learning algorithms to distinguish between bad (intrusions/attacks) and good (normal) connections. The UI is built using Flask framework and the KDD Cup 1999 dataset is used for training. Python, Flask, and Scikit-learn are the main technologies used in this project.