513 Open source projects that are alternatives of or similar to ewstools

Resampling Tools for Time Series Forecasting with Modeltime

Merlion: A Machine Learning Framework for Time Series Intelligence

Code examples for pyFTS

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

MSGARCH R Package

Time series analysis in Java

GPU-Accelerated Deep Learning for Time Series using Modeltime GluonTS (Learning Lab 53). Event sponsors: Saturn Cloud, NVIDIA, & Business Science.

📈 PyTorch dual-attention LSTM-autoencoder for multivariate Time Series 📈

An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Time Series Forecasting Best Practices & Examples

A python library for easy manipulation and forecasting of time series.

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

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

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

An overview of univariate time series forecasting models with sample code.

GluonTS Deep Learning with Modeltime

Calculates various features from time series data. Python implementation of the R package tsfeatures.

📈 high level wrapper for parallel univariate time series forecasting 📉

Kaggle | Web Traffic Forecasting 📈

ARCH models in Python

A Python library for time series forecasting

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Modeltime unlocks time series forecast models and machine learning in one framework

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

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.

A unified framework for machine learning with time series

Automated Time Series Forecasting

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

An open source library for Fuzzy Time Series in Python

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

A toolkit for working with time series in R

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

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Scalable machine 🤖 learning for time series forecasting.

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

CentOS based Docker container for Time Series Analysis and Modeling.

Time Series Ensemble Forecasting

This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.

AtsPy: Automated Time Series Models in Python (by @firmai)

Probabilistic time series modeling in Python

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

Forecast time series and stock prices with SCINet

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).

Time series market data

Suite of tools for retrieving USGS NWIS observations and evaluating National Water Model (NWM) data.

A Python reference implementation of the CF data model

Nowcasting

Functions for easily making publication-quality figures with matplotlib.

Agent-based modeling in JavaScript in the browser or on the server.

Wavefront Proxy Project

PlotTwist - a web app for plotting and annotating time-series data

Predict time-series with one line of code.

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

Singular Spectrum Analysis for time series forecasting in Python

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.

LSTM Mobility Model implementation using Tensorflow

Probably the best curated list of data science books in Python

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