1340 Open source projects that are alternatives of or similar to modeltime.ensemble

A toolkit for working with time series in R

GluonTS Deep Learning with Modeltime

Resampling Tools for Time Series Forecasting with Modeltime

Extending broom for time series forecasting

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

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

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

Time-aware tibbles

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 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.

Time series analysis in Java

💪 🤔 Modern Super Learning with Machine Learning Pipelines

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

This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking and Blending were made from scratch, the example for Voting was using the scikit-learn utility.

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

Scalable machine 🤖 learning for time series forecasting.

📈 high level wrapper for parallel univariate time series forecasting 📉

Merlion: A Machine Learning Framework for Time Series Intelligence

A python library for Bayesian time series modeling

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

Forecast time series and stock prices with SCINet

Code examples for pyFTS

Bringing financial analysis to the tidyverse

Timeseries database

Solution to Kaggle - Web Traffic Time Series Forecasting

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

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

Tools for time series analysis and forecasting

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.

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

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

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

A machine learning toolkit dedicated to time-series data

ARIMA, SARIMA, SARIMAX and AutoARIMA models for time series analysis and forecasting in the browser and Node.js

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

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

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

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

Stock Analysis Tutorial in Python

Financial market technical analysis & indicators in Julia

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

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

Time series based anomaly detector

1st place solution

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

If you can measure it, consider it predicted

Python port of R's Comprehensive Dynamic Time Warp algorithms package

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

Lightweight, functional and correct time-series library for scala. Easy manipulation, filtering and combination of time-series data.

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Time series forecasting with PyTorch

Downsample plugin for Flot charts.

Technical Analysis Library Time-Series

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

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

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

Automated Time Series Forecasting

Predict time-series with one line of code.

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

Singular Spectrum Analysis for time series forecasting in Python