William1009's Stars
rohit6205/Anomaly-Detection-in-Flight-s-Sensors-Data
mrtbrnz/fault_detection
Fault detection on real flight data using machine learning
stewdio/airborne
Flight data visualized on a WebGL globe. Just like everyone else.
Hugoch/flights-analysis
A quick script for flight data visualisation using matplotlib
Ysurac/FlightAirMap
Open source project displaying live aircrafts, ships or trackers on 2D/3D map. Browse through the data based on a particular aircraft, airline, airport, tracker or vessel to search through the database or see extensive statistics. Can use ADS-B in SBS1 format (dump1090, Radarcape,...), VRS, VA (VATSIM, IVAO whazzup.txt, phpvms,...), ACARS (acarsdec, acarsdeco2), APRS, AIS as datasource.
junzis/flight-data-processor
Flight data clustering and flight phase identification
coelhosilva/flight-ad
flight-ad is a Python package for anomaly detection in the aviation domain built on top of scikit-learn.
mindskip/xzs
在线考试系统
librauee/Reptile
🏀 Python3 网络爬虫实战(部分含详细教程)猫眼 腾讯视频 豆瓣 研招网 微博 笔趣阁小说 百度热点 B站 CSDN 网易云阅读 阿里文学 百度股票 今日头条 微信公众号 网易云音乐 拉勾 有道 unsplash 实习僧 汽车之家 英雄联盟盒子 大众点评 链家 LPL赛程 台风 梦幻西游、阴阳师藏宝阁 天气 牛客网 百度文库 睡前故事 知乎 Wish
bbfamily/abu
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
curlconverter/curlconverter
Transpile curl commands into Python, JavaScript and 27 other languages
tnakae/DAGMM
DAGMM Tensorflow implementation
TimyadNyda/Variational-Lstm-Autoencoder
Lstm variational auto-encoder for time series anomaly detection and features extraction
arunbaruah/Anomaly_Detection_Transformer
Anomaly detection from OS logs using Transformers implemented with Pytorch.
liubenyuan/nudtpaper
A LaTeX template for Master/PhD Thesis of NUDT
ZZUFaceBookDL/GTN
gzerveas/mvts_transformer
Multivariate Time Series Transformer, public version
shunyaoshih/TPA-LSTM
Temporal Pattern Attention for Multivariate Time Series Forecasting
mangushev/mtad-tf
Implementation of MTAD-TF: Multivariate Time Series Anomaly Detection Using the Combination of Temporal Pattern and Feature Pattern
microsoft/StemGNN
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
ML4ITS/mtad-gat-pytorch
PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
d-ailin/GDN
Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)
eBay/RANSynCoders
cfeng783/NSIBF
Code for KDD' 21 paper: Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering
zhhlee/InterFusion
KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding
cbfinn/maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
floodsung/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
AlexKer/federated-metalearning-risk-prediction-ehr
Meta-Learning for Risk Prediction with Limited Patient Electronic Health Records Using PySyft and SyferText
ddayzzz/federated-meta
Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"
xialeiliu/Awesome-Incremental-Learning
Awesome Incremental Learning