400 Open source projects that are alternatives of or similar to Matrix-Profile

R Functions implementing UCR Matrix Profile Algorithm

High-performance time series algorithms for Ruby

Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

A friendly package for Kepler & TESS time series analysis in Python.

framework for developing machine (and deep) learning models for structured data

Predict time-series with one line of code.

Real-time performance monitoring, done right! https://www.netdata.cloud

Prediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectures aswell.

Time Series Metrics Engine based on Cassandra

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

Archived incubation repo for InfluxDB 2.0

⏰ This R package provides the tools to perform standard and robust wavelet variance analysis for time series (signal processing). Among others, aside from computing the wavelet variance and cross-covariance (classic and robust), the package provides inference tools (e.g. confidence intervals) and plotting tools allowing to perform some visual an…

Functions for easily making publication-quality figures with matplotlib.

PyTorch implementation of TSception

GreyCat - Data Analytics, Temporal data, What-if, Live machine learning

⏰📊✨Laravel Time Series - Provides an API to create and maintain data projections (statistics, aggregates, etc.) from your Eloquent models, and convert them to time series.

Probably the best curated list of data science books in Python

⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

sknifedatar is a package that serves primarily as an extension to the modeltime 📦 ecosystem. In addition to some functionalities of spatial data and visualization.

An open-source big data platform designed and optimized for the Internet of Things (IoT).

Data visualization tool for wikis evolution

A full featured Generic SNMP data collector with Web Administration Interface for InfluxDB

Official code for UnICORNN (ICML 2021)

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

Examples of Data Science projects and Artificial Intelligence use cases

🚂 Python API for Emma's Markov Model Algorithms 🚂

Python machine learning package based on sklearn API for multivariate data processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry

Time series market data

Detecting and Predicting Forest Cover Change in Pakistani Areas Using Remote Sensing Imagery

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

An effective time-series data compression/decompression method based on Facebook's Gorilla.

Wavefront Proxy Project

LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Time series annotation library.

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

ZestDB

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

An integrated framework in R for textual sentiment time series aggregation and prediction

list of papers, code, and other resources

Renewcast: Forecasting Renewable Electricity Generation in EU Countries.

playing idealized trading games with deep reinforcement learning

Open Source Phasor Data Concentrator

The Most Advanced Time Series Platform

PyTorch implementations of neural networks for timeseries classification

Scalable Time Series Data Analytics

Automated Time Series Forecasting

High-performance time-series aggregation for PostgreSQL

An OpenTSDB-like time series database, with much better performance.

An intuitive library to extract features from time series

Time series implementation in Go

Time series features

COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools

Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)

several utilities to help wrangle COVID-19 data into a time-series format

Code examples for pyFTS

Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.

LSTM Mobility Model implementation using Tensorflow