744 Open source projects that are alternatives of or similar to magi

Time Series Ensemble Forecasting

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

Scalable machine 🤖 learning for time series forecasting.

A toolkit for working with time series in R

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

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

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.

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

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

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

MSGARCH R Package

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

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

Resampling Tools for Time Series Forecasting with Modeltime

Forecast time series and stock prices with SCINet

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

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

RNN based Time-series Anomaly detector model implemented in Pytorch.

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

A Python library for time series forecasting

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

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

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

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

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

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

CentOS based Docker container for Time Series Analysis and Modeling.

forecast package for R

Time Series Forecasting Best Practices & Examples

Merlion: A Machine Learning Framework for Time Series Intelligence

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

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.

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

ARCH models in Python

Kaggle | Web Traffic Forecasting 📈

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

A unified framework for machine learning with time series

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

Model data as beliefs (at a certain time) about events (at a certain time).

This package includes basic tools for time series analysis, compatible with incomplete data.

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

Time series analysis in Java

An open source library for Fuzzy Time Series in Python

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

Probabilistic time series modeling in Python

Automated Time Series Forecasting

Extending broom for time series forecasting

Code examples for pyFTS

GluonTS Deep Learning with Modeltime

foot是一个集足球数据采集器,简单分析的项目.AI足球球探为程序全自动处理,全程无人为参与干预足球分析足球预测程序.程序根据各大指数多维度数据,结合作者多年足球分析经验,精雕细琢,集天地之灵气,汲日月之精华,历时七七四十九天,经Bug九九八十一个,编码而成.有兴趣的朋友,可以关注一下公众号AI球探(微信号ai00268).

an easy parallel queueing system

Code accompanying my blog post on k-means in Python, C++ and CUDA

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

This Project gives you an overall idea for Forecasting Mutual Funds

Run your Python algorithms in parallel and avoid the GIL

Minimal async jobs utility library, with streams support

runs stuff in parallel (like GNU parallel, but much faster and memory-efficient)

super-monorepo for machine learning and algorithmic trading

🚀 R package future.batchtools: A Future API for Parallel and Distributed Processing using batchtools