611 Open source projects that are alternatives of or similar to microprediction

Predict time-series with one line of code.

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

Fast specialized time-series database for IoT, real-time internet connected devices and AI analytics.

Bringing financial analysis to the tidyverse

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.

Financial market technical analysis & indicators in Julia

This package includes basic tools for time series analysis, compatible with incomplete data.

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

A toolkit for working with time series in R

Library which contains several time-dependent data and index structures (e.g., IntervalTree, BucketTimeSeries), as well as algorithms.

A machine learning toolkit dedicated to time-series data

Stock Analysis Tutorial in Python

Implementation of time series compression method from the Facebook's Gorilla paper

Extending broom for time series forecasting

An open source SQL database designed to process time series data, faster

Sequential Monte Carlo algorithm for approximation of posterior distributions.

An Open Source Distributed Time Series Database with high performance, high compression ratio and high usability.

A repository to compare the performance between the algorithms implemented in pyts and the performance reported in the literature

SiriDB is a highly-scalable, robust and super fast time series database. Build from the ground up SiriDB uses a unique mechanism to operate without a global index and allows server resources to be added on the fly. SiriDB's unique query language includes dynamic grouping of time series for easy analysis over large amounts of time series.

Time Series Ensemble Forecasting

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

Java implementation of Seasonal-Trend-Loess time-series decomposition algorithm.

A python library for time-series smoothing and outlier detection in a vectorized way.

Anything can happen in the next half hour (including spectral timing made easy)!

Time series analysis in Java

An open-source library of algorithms to analyse time series in GPU and CPU.

Time-aware tibbles

📈 A small, fast chart for time series, lines, areas, ohlc & bars

1st place solution

A Multipurpose Library for Synthetic Time Series Generation in Python

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

Using Kalman Filter to Predict Corona Virus Spread

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.

Collection of several downsampling methods for time series visualisation purposes.

Calculates the Hurst exponent of a time series based on Rescaled range (R/S) analysis.

NetCDF-CF Geometry and Timeseries Tools for R: https://code.usgs.gov/water/ncdfgeom

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

A python library for Bayesian time series modeling

A C# client object model to help integrate with InfluxDB with CLI languages. Supports both .Net traditional and .Net Core.

Timeseries database

High performance datastore for time series and tick data

Solution to Kaggle - Web Traffic Time Series Forecasting

Durable time-series database that's API-compatible with Prometheus.

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Fast scalable time series database

Downsample plugin for Flot charts.

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

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

Code examples for pyFTS

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

My collection of implementations of adaptive filters.

Example of order book modeling.

Renewcast: Forecasting Renewable Electricity Generation in EU Countries.

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

Contains coursera robotics specialization assignment codes

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.

PyTorch implementations of neural networks for timeseries classification

Delay coordinates embedding and Dataset definitions