457 Open source projects that are alternatives of or similar to Darts

Kaggle | Web Traffic Forecasting 📈

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

Time series analysis in Java

Forecast time series and stock prices with SCINet

Resampling Tools for Time Series Forecasting with Modeltime

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

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.

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.

Scalable machine 🤖 learning for 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.

Merlion: A Machine Learning Framework for Time Series Intelligence

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

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

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

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

A Python library for time series forecasting

An open source library for Fuzzy Time Series in Python

Time Series Forecasting Best Practices & Examples

Automated Time Series Forecasting

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

Time Series Ensemble Forecasting

Code examples for pyFTS

📈 high level wrapper for parallel univariate time series forecasting 📉

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.

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

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

A toolkit for working with time series in R

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

CentOS based Docker container for Time Series Analysis and Modeling.

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

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

ARCH models in Python

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

MSGARCH R Package

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

A unified framework for machine learning with time series

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

Probabilistic time series modeling in Python

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

GluonTS Deep Learning with Modeltime

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

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

Scalable datastore for metrics, events, and real-time analytics

A Python toolkit for rule-based/unsupervised anomaly detection in time series

SiriDB is a highly-scalable, robust and super fast time series database. Build from the ground up SiriDB uses a unique mechanism to operate without a global index and allows server resources to be added on the fly. SiriDB's unique query language includes dynamic grouping of time series for easy analysis over large amounts of time series.

Python module for machine learning time series:

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

ELKI Data Mining Toolkit

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

A highly scalable real-time graphing system

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

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

Python implementation of Empirical Mode Decompoisition (EMD) method

Highly comparative time-series analysis

Tidy time series forecasting

Machine Learning on Sequential Data Using a Recurrent Weighted Average

🌊 Numerically solving and backpropagating through the wave equation

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas