706 Open source projects that are alternatives of or similar to AutoTS

Merlion: A Machine Learning Framework for Time Series Intelligence

Time Series Forecasting Best Practices & Examples

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

Time Series Ensemble Forecasting

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

Forecast time series and stock prices with SCINet

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

CentOS based Docker container for Time Series Analysis and Modeling.

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

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

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

A full pipeline AutoML tool for tabular data

Code examples for pyFTS

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

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

Resampling Tools for Time Series Forecasting with Modeltime

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.

Scalable machine 🤖 learning for time series forecasting.

A unified framework for machine learning with time series

Kaggle | Web Traffic Forecasting 📈

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

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

MSGARCH R Package

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

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

LAMA - automatic model creation framework

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

a delightful machine learning tool that allows you to train, test, and use models without writing code

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

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.

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

Python package for early warning signals (EWS) of bifurcations in time series data.

EvalML is an AutoML library written in python.

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

Python package for automatically constructing features from multiple time series

GluonTS Deep Learning with Modeltime

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

📈 high level wrapper for parallel univariate time series forecasting 📉

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

Probabilistic time series modeling in Python

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

[UNMAINTAINED] Automated machine learning for analytics & production

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

A toolkit for working with time series in R

ARCH models in Python

DeltaPy - Tabular Data Augmentation (by @firmai)

An intuitive library to extract features from time series

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

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

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

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

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

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

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Time series analysis in Java

A Python library for time series forecasting

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.