512 Open source projects that are alternatives of or similar to notebooks

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 unified framework for machine learning with time series

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

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

An open source library for Fuzzy Time Series in Python

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.

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

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

Highly comparative time-series analysis

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

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

Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.

A framework for historical volatility estimation and analysis.

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

Merlion: A Machine Learning Framework for Time Series Intelligence

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

A toolkit for working with time series in R

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

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

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

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

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

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

Predict time-series with one line of code.

A machine learning toolkit dedicated to time-series data

Stock Analysis Tutorial in Python

Singular Spectrum Analysis for time series forecasting in Python

Analyzes chronological patterns present in time-series data and provides human-readable descriptions

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

📈 high level wrapper for parallel univariate time series forecasting 📉

CentOS based Docker container for Time Series Analysis and Modeling.

Automated Time Series Forecasting

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

Resources for working with time series and sequence data

List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法

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

Time series analysis in Java

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

Axibase Time Series Database: Usage Examples and Research Articles

ARCH models in Python

Kaggle | Web Traffic Forecasting 📈

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

GluonTS Deep Learning with Modeltime

TSrepr: R package for time series representations

A framework for systemic risk valuation and analysis.

A use-case focused tutorial for time series forecasting with python

A Python library for time series forecasting

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

Fast & scalable MCMC for all your exoplanet needs!

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

Probabilistic time series modeling in Python

Time Series Forecasting Best Practices & Examples

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

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

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

Resampling Tools for Time Series Forecasting with Modeltime

MSGARCH R Package

An End-to-end Outlier Detection System

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

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.