araifan

ns-emu-tools

一个用于安装/更新 NS 模拟器的工具

Code

运小筹公众号是致力于分享运筹优化(LP、MIP、NLP、随机规划、鲁棒优化)、凸优化、强化学习等研究领域的内容以及涉及到的算法的代码实现。

operation_research

一些和运筹学有关系的算法

cvxpower

Power Network Optimization and Simulation.

IoT-system-PLC-data-to-InfluxDB

This project aim is to provide free software to fetch data from plcs (Siemens S7-300/400/1200/1500) and store it. Used stack is completly opensource. I used InfluDB as data storage, so application principle is following Big Data paradigm.

noisyopt

Python library for optimizing noisy functions.

breakout-python

Breakout detection for Python

BreakoutDetection

Breakout Detection via Robust E-Statistics

Self-Organizing-Maps-using-KNN

High Frequency Time series Anomaly Detection using Self Organizing Maps (SOM) which is based on Competitive Learning a variant of the Neural Networks using K Nearest Neighbors

Bayesian-Changepoint-Detection

High Frequency Time series Anomaly Detection using Online Bayesian Changepoint Detection Algorithm

mictools

A practical tool for Maximal Information Coefficient (MIC) analysis

MES-SpringBoot

结合ISA-95 MES/MOM执行制造系统 数字化工厂+智能制造

PCIC-2021-Track1

PCIC 2021 Track1: Causal Discovery

dycause_rca

DyCause is a root cause analysis method for the microservice system failures.

TroubleShooter

The algorithms about root cause analysis/localization/diagnosis in AIOps.

Gearbox-fault-detect-matlab

Use SAE to classify the fault of gearbox

Feature-Selection

Features selector based on the self selected-algorithm, loss function and validation method

luminol

Anomaly Detection and Correlation library

datastream.io

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

banpei

Anomaly detection library based on singular spectrum transformation(sst)

ailearning

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

piecewise_linear_fit_py

fit piecewise linear data for a specified number of line segments

changepy

Time series changepoint detection

gaussian_mixture_models

acnh_time_series_clustering

Time Series Clustering Analysis of ACNH Turnip Price Trends

baby_names

Trends in baby names: clustering time series analysis

atlas-trends-demo

Demonstration of the RIPE Atlas Trends API for RTT time series clustering.

AnomaliesDetection-with-TimeSeriesAnalysis

This is an experimental of anomalies detection by applying different approach to the problem. PCA component regularization method, K-Mean Clustering, SVM and Gausian Distribution models has been used to detect anomalies on time series data.

time-series-classification-and-clustering

Time series classification and clustering code written in Python.

Py-EnPI

Python version of EnPI