475 Open source projects that are alternatives of or similar to periodicity

A peak-fitting tool based on MATLAB for spectroscopic data analysis.

A framework for historical volatility estimation and analysis.

A new and computationally cheap method to perform human activity recognition using PoseNet and LSTM. Where we use PoseNet for Preprocessing and LSTM for understand the sequence.

Sparse Gaussian Process Potentials

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

Particle filtering and sequential parameter inference in Python

Download and tidy time series data from the Australian Bureau of Statistics in R

A fast, scalable and light-weight C++ Fréchet distance library, exposed to python and focused on (k,l)-clustering of polygonal curves.

Periodic time series analysis tools based on information theory

A flexible data historian based on InfluxDB, Grafana, MQTT and more. Free, open, simple.

A Univariate Time Series Analysis and ARIMA Modeling Package in ANSI C. Updated with SARIMAX and Auto ARIMA.

Python library for Bayesian hyper-parameters optimization

Full Bayesian Inference for Hidden Markov Models

R Functions implementing UCR Matrix Profile Algorithm

Time series competition data

A time series database prototype with multiple backends

R interface to Brazilian Central Bank web services

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

Pairs trading strategy example based on Catalyst

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

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

Collection of several downsampling methods for time series visualisation purposes.

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

[Implementation example] Attend and Diagnose: Clinical Time Series Analysis Using Attention Models

Univariate and multivariate time series forecasting

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

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

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

a deep recurrent model for exchangeable data

SVG time-series charting library

Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & WEKA/MATLAB Supervised Training

The official QuestDB website, database documentation and blog.

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

R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.

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

📈 high level wrapper for parallel univariate time series forecasting 📉

A Python Package For System Identification Using NARMAX Models

Real time sync from MongoDB into InfluxDB

Poor man's time series functionality for PostgreSQL

Sparkle Motion

Python package for automatically constructing features from multiple time series

Investment portfolio and stocks analyzing tools for Python with free historical data

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

Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network

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

Causal Discovery for Python. Translation and extension of the Tetrad Java code.

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

A Keras library for multi-step time-series forecasting.

Wavefront plugin for go-metrics

Gaussian processes and Bayesian optimization for images and hyperspectral data

Scalable machine 🤖 learning for time series forecasting.

Calculates the Hurst exponent of a time series based on Rescaled range (R/S) analysis.

Dynamic Time Warping in Python / C (using ctypes)

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

fast implementation of singular spectrum transformation (change point detection algorithm)

No description or website provided.

Making SLOs with Prometheus manageable, accessible, and easy to use for everyone!

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

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.