476 Open source projects that are alternatives of or similar to SCINet

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

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

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

Code examples for pyFTS

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

Time Series Forecasting Best Practices & Examples

CentOS based Docker container for Time Series Analysis and Modeling.

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

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

A Python library for time series forecasting

ARCH models in Python

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

A toolkit for working with time series in R

Probabilistic time series modeling in Python

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

Resampling Tools for Time Series Forecasting with Modeltime

GluonTS Deep Learning 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.

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

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

Kaggle | Web Traffic Forecasting 📈

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

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

An open source library for Fuzzy Time Series in Python

Time series analysis in Java

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

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

A unified framework for machine learning with time series

MSGARCH R Package

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

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

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.

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

Merlion: A Machine Learning Framework for Time Series Intelligence

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

Scalable machine 🤖 learning for time series forecasting.

Automated Time Series Forecasting

Time Series Ensemble Forecasting

📈 high level wrapper for parallel univariate time series forecasting 📉

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

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

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

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

Wavefront Proxy Project

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

Predict time-series with one line of code.

Singular Spectrum Analysis for time series forecasting in Python

LSTM Mobility Model implementation using Tensorflow

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.

Probably the best curated list of data science books in Python

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

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

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

A COVID-19 dataset with 90 World countries including Algeria.

Renewcast: Forecasting Renewable Electricity Generation in EU Countries.

GreyCat - Data Analytics, Temporal data, What-if, Live machine learning

Open Source Phasor Data Concentrator

Data visualization tool for wikis evolution

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

Stock market forecasting using the ARIMA model.