rob-med

awesome-TS-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

owlpy

An open source time series library for Python implementing Matrix Profile

Everything-Shapelets

This repo contains useful links to research papers and implementations of shapelets discovery/learning techniques from different sources.

BackupSetlist.fm

Backup your setlist.fm attended gigs data.

MusicFinder

Music Finder is a service that allows users to create and browse playlists via REST APIs.

spotify-random-song

Get a completely random song from Spotify's archive.

tslearn

A machine learning toolkit dedicated to time-series data

lstm-anomaly-detect

Example code for neural-network-based anomaly detection of time-series data (uses LSTM)

BotPitchfork

BotPitchfork, a Pitchfork Twitter bot

crowdai-musical-genre-recognition-starter-kit

K-Nearest-Neighbors-with-Dynamic-Time-Warping

Python implementation of KNN and DTW classification algorithm

mstamp

arff2csv

A python script which convert arff to csv .

awesome-nilm

A curated resources of awesome NILM resources

bayesian-optimization

Python code for bayesian optimization using Gaussian processes

belkirk-jekyll-demo

Data-Visualizations-For-Python

A collection of useful snippets for clean data visualizations in Python (with matplotlib)

DeepADoTS

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

dtw

DTW (Dynamic Time Warping) python module

Dual-staged-Attention-for-NYC-Weather-prediction

Dual Staged Attention Model for Time Series prediction

flask-heroku-sample

Flask Heroku Sample Application

keras_shapelets

Efficient implementation of Learning Time-Series Shapelets using keras

NAB

The Numenta Anomaly Benchmark

rob-med.github.io

Personal Website

RobustAutoencoder

A combination of Autoencoder and Robust PCA

saxpy

Symbolic Aggregate approXimation (i.e., SAX) implementation for Python

Spotify-friends-activity-userscript

Show Spotify friends activity on open.spotify.com

tf-dagmm

Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018

tsfresh

Automatic extraction of relevant features from time series:

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow