1904 Open source projects that are alternatives of or similar to Arch

MSGARCH R Package

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

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

Automated Time Series Forecasting

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

Kaggle | Web Traffic Forecasting 📈

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

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

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

Resampling Tools for Time Series Forecasting with Modeltime

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 📉

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

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

Quantitative systematic trading strategy development and backtesting in Julia

Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.

Time series analysis in Java

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

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

Financial market technical analysis & indicators in Julia

Scalable machine 🤖 learning for time series forecasting.

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

CentOS based Docker container for Time Series Analysis and Modeling.

GluonTS Deep Learning with Modeltime

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

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

DeltaPy - Tabular Data Augmentation (by @firmai)

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

A Python library for time series forecasting

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

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

CNN for stock market prediction using raw data & candlestick graph.

GANs for time series generation in pytorch

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

An open source library for Fuzzy Time Series in Python

Probabilistic time series modeling in Python

Quantitative Financial Modelling Framework

Time Series Forecasting Best Practices & Examples

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

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

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

🤓 This is a simple SPA built using Koa as the backend, Vue as the first frontend, and React as the second frontend. Features MySQL integration, user authentication, CRUD note actions, and Vuex store modules.

Time Series Ensemble Forecasting

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

This library was developed for economic analysis in the Brazilian scenario (Investments, micro and macroeconomic indicators)

Forecast time series and stock prices with SCINet

A Julia package for estimating ARMA-GARCH models.

Investment portfolio and stocks analyzing tools for Python with free historical data

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

Code examples for pyFTS

A bookkeeping & financial analysis engine for the Django Framework. UNDER ACTIVE DEVELOPMENT & NOT STABLE YET.

Merlion: A Machine Learning Framework for Time Series Intelligence

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

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

ServiceStackVS - Visual Studio extension for ServiceStack

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.

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

A unified framework for machine learning with time series

Awes.io // boilerplate based on Vue, Nuxt, TailwindCSS plus Laravel as a backend. 🤟