433 Open source projects that are alternatives of or similar to sysidentpy

R package for statistical inference using partially observed Markov processes

A python multi-variate time series prediction library working with sklearn

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

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

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.

If you can measure it, consider it predicted

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

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

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

Official code for UnICORNN (ICML 2021)

Time series market data

Renewcast: Forecasting Renewable Electricity Generation in EU Countries.

Reusable CNN and RNN model doing time series binary classification

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.

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

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

Statistical inference on machine learning or general non-parametric models

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

Python package for automatically constructing features from multiple time series

A framework for generalised dynamical systems modelling & simulation (inspired by and compatible with cadCAD.org)

Example of order book modeling.

Using LSTM network for time series forecasting

Wavefront Proxy Project

learning state-space targets in dynamical systems

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

An integrated framework in R for textual sentiment time series aggregation and prediction

Configurable ODE/PDE solver

Dynamic Time Warping in Python / C (using ctypes)

Brain Dynamics Programming in Python

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

Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations

Time Series Ensemble 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.

Tensor Train Toolbox

LSTM Mobility Model implementation using Tensorflow

Bayesian Generalized Linear Models with Time-Varying Coefficients

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

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

My collection of implementations of adaptive filters.

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

PyTorch implementations of neural networks for timeseries classification

Poor man's time series functionality for PostgreSQL

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

Forecast time series and stock prices with SCINet

PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA

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

Functions for easily making publication-quality figures with matplotlib.

A Python package for spectral proper orthogonal decomposition (SPOD).

Predict time-series with one line of code.

Simulation and visualization of articulated rigid body systems in Julia

Probably the best curated list of data science books in Python

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

Wavefront plugin for go-metrics

Model reduction for linear and nonlinear dynamical systems: core C++ library

A Java library for Matrix Profile

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Open Source Phasor Data Concentrator

Continuous-time gradient flow for generative modeling and variational inference

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

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