404 Open source projects that are alternatives of or similar to state-spaces

Bayesian Generalized Linear Models with Time-Varying Coefficients

Code examples for pyFTS

Enables extraction of measurement data from binary files with extension 'raw' used by proprietary software imcFAMOS/imcSTUDIO and facilitates its storage in open source file formats

Reusable CNN and RNN model doing time series binary classification

GreyCat - Data Analytics, Temporal data, What-if, Live machine learning

An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R

Forecast time series and stock prices with SCINet

Univariate and multivariate 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.

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

Scalable machine 🤖 learning for time series forecasting.

Official code for UnICORNN (ICML 2021)

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.

DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)

Historical NAV/price/time-series data of mutual funds and popular benchmark indices in India

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

PlotTwist - a web app for plotting and annotating time-series data

Resampling Tools for Time Series Forecasting with Modeltime

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 PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

LSTM Mobility Model implementation using Tensorflow

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

Prediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectures aswell.

Creating a model to analyze and predict the trend of the prices of gold.

Wavefront plugin for go-metrics

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

Algorithms for causal inference and the detection of dynamical coupling from time series, and for approximation of the transfer operator and invariant measures.

Dynamic Time Warping in Python / C (using ctypes)

Collection of several downsampling methods for time series visualisation purposes.

Time Series Ensemble Forecasting

midasml package is dedicated to run predictive high-dimensional mixed data sampling models

If you can measure it, consider it predicted

A Python library for machine-learning and feedback loops on streaming data

Statistical inference on machine learning or general non-parametric models

A Python Package For System Identification Using NARMAX Models

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

天池“资金流入流出预测——挑战baseline”的解决方案，线上效果143.5

Example of order book modeling.

Poor man's time series functionality for PostgreSQL

A Java library for Matrix Profile

A time series database prototype with multiple backends

Renewcast: Forecasting Renewable Electricity Generation in EU Countries.

Python package for automatically constructing features from multiple time series

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 implementation of AutoPlait (SIGMOD'14) without smoothing algorithm. NOTE: This repository is for my personal use.

An OpenTSDB-like time series database, with much better performance.

Synthetic Data Generation for mixed-type, multivariate time series.

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

An Open Source Distributed Time Series Database with high performance, high compression ratio and high usability.

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

Shiny app for Price Optimization using prophet and lme4 libraries for R.

PyTorch implementations of neural networks for timeseries classification

Classifying time series using feature extraction

Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).

R Functions implementing UCR Matrix Profile Algorithm

TalariaDB is a distributed, highly available, and low latency time-series database for Presto

Open weather data for humans

ES6 module of cubism.js, based on d3v5.

Using LSTM network for time series forecasting