583 Open source projects that are alternatives of or similar to time-series-autoencoder

CentOS based Docker container for Time Series Analysis and Modeling.

A Python library for time series forecasting

MSGARCH R Package

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

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

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

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

ARCH models in Python

Library of autoencoders for sequential data

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

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

Time Series Ensemble Forecasting

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.

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

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

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

A unified framework for machine learning with time series

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

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

An open source library for Fuzzy Time Series in Python

Time series analysis in Java

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

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

Code examples for pyFTS

Forecast time series and stock prices with SCINet

GluonTS Deep Learning with Modeltime

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

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.

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

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.

📈 high level wrapper for parallel univariate time series forecasting 📉

Merlion: A Machine Learning Framework for Time Series Intelligence

Deep learning meets molecular dynamics.

A toolkit for working with time series in R

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

Kaggle | Web Traffic Forecasting 📈

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

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

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

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

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Probabilistic time series modeling in Python

Time Series Forecasting Best Practices & Examples

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

Automated Time Series Forecasting

Scalable machine 🤖 learning for time series forecasting.

Resampling Tools for Time Series Forecasting with Modeltime

ARIMA, SARIMA, SARIMAX and AutoARIMA models for time series analysis and forecasting in the browser and Node.js

Experiments with Adversarial Autoencoders using Keras

Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

Barrage is an opinionated supervised deep learning tool built on top of TensorFlow 2.x designed to standardize and orchestrate the training and scoring of complicated models.

A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (published at TNNLS)

A well-tuned algorithm to generate & draw support/resistance line on time series. 根据时间序列自动生成支撑线压力线

eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding

KFAS: R Package for Exponential Family State Space Models

A Python interface between Earth Engine and xarray for processing time series data

The official QuestDB website, database documentation and blog.

SVG time-series charting library