1056 Open source projects that are alternatives of or similar to Gluon Ts

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

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

Resources for working with time series and sequence data

list of papers, code, and other resources

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

Renewcast: Forecasting Renewable Electricity Generation in EU Countries.

📈 high level wrapper for parallel univariate time series forecasting 📉

GluonTS Deep Learning with Modeltime

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

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.

A toolkit for working with time series in R

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

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

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.

Automated Time Series Forecasting

Scalable machine 🤖 learning for time series forecasting.

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

A Keras library for multi-step time-series forecasting.

Example of order book modeling.

Python implementation of soft-DTW.

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

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

Kaggle | Web Traffic Forecasting 📈

ARCH models in Python

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

MSGARCH R Package

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

Anomaly detection for temporal data using LSTMs

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

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

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

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

Code examples for pyFTS

Time series analysis in Java

Time Series Ensemble Forecasting

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

Resampling Tools for Time Series Forecasting with Modeltime

Forecast time series and stock prices with SCINet

CentOS based Docker container for Time Series Analysis and Modeling.

An open source library for Fuzzy Time Series in Python

A collection of Natural language processing pre-trained models.

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

Merlion: A Machine Learning Framework for Time Series Intelligence

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

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

A unified framework for machine learning with time series

sktime companion package for deep learning based on TensorFlow

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

(Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

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

A Python library for time series forecasting

Train Neuronal networks to automate your home

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

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

A python multi-variate time series prediction library working with sklearn

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

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

Time Series Forecasting Best Practices & Examples