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

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

Fast & scalable MCMC for all your exoplanet needs!

Fast and flexible Gaussian Process regression in Python

Forecasting 🇫🇷 elections with Bayesian statistics 🥳

Scalable 1D Gaussian Processes in C++, Python, and Julia

Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper

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

Sequential Monte Carlo algorithm for approximation of posterior distributions.

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

THIS REPO HAS MOVED TO https://github.com/apache/incubator-iotdb. TsFile is a columnar file format designed for time-series data, which supports efficient compression and query. It is easy to integrate TsFile with your IOT big data processing frameworks.

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.

KFAS: R Package for Exponential Family State Space Models

Code for "Deep Signature Transforms" (NeurIPS 2019)

Analyzes chronological patterns present in time-series data and provides human-readable descriptions

super-monorepo for machine learning and algorithmic trading

Python library for Bayesian hyper-parameters optimization

Resources for working with time series and sequence data

Using Kalman Filter to Predict Corona Virus Spread

Functional models and algorithms for sparse signal processing

K2 systematics correction using Gaussian processes

Occupancy detection of an office room from light, temperature, humidity and CO2 measurements

A data preprocessing package for time series data. Design for machine learning and deep learning.

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

MODIS Assimilation and Processing Engine

Code used in the paper "Time Series Clustering via Community Detection in Networks"

High-availability and horizontal scalability for InfluxDB

CentOS based Docker container for Time Series Analysis and Modeling.

A framework for historical volatility estimation and analysis.

Sparse Gaussian Process Potentials

Particle filtering and sequential parameter inference in Python

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

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

Full Bayesian Inference for Hidden Markov Models

Time series competition data

R interface to Brazilian Central Bank web services

Pairs trading strategy example based on Catalyst

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

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

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

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

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).

SVG time-series charting library

The official QuestDB website, database documentation and blog.

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.

📈 high level wrapper for parallel univariate time series forecasting 📉

Real time sync from MongoDB into InfluxDB

Sparkle Motion

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

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

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

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

Probabilistic Programming with Gaussian processes in Julia

Gaussian processes and Bayesian optimization for images and hyperspectral data

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

Generalized Method of Wavelet Moments (GMWM) is an estimation technique for the parameters of time series models. It uses the wavelet variance in a moment matching approach that makes it particularly suitable for the estimation of certain state-space models.

Imputation of Financial Time Series with Missing Values and/or Outliers

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

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

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