610 Open source projects that are alternatives of or similar to ForestCoverChange

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

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

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

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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.

Merlion: A Machine Learning Framework for Time Series Intelligence

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

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

A Python library for time series forecasting

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

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An open source library for Fuzzy Time Series in Python

A toolkit for working with time series in R

MSGARCH R Package

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

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

📈 high level wrapper for parallel univariate time series forecasting 📉

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

Forecast time series and stock prices with SCINet

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

Code examples for pyFTS

GluonTS Deep Learning with Modeltime

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

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

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

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 Keras library for multi-step time-series forecasting.

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

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An intuitive library to extract features from time series

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