399 Open source projects that are alternatives of or similar to sugrrants

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

Time Series Ensemble Forecasting

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

Python package for automatically constructing features from multiple time series

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

Collection of several downsampling methods for time series visualisation purposes.

Wavefront plugin for go-metrics

Sequence Modeling with Structured State Spaces

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

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

Poor man's time series functionality for PostgreSQL

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.

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

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

Data abstraction, storage, discovery, and serving system

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

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

Dynamic Time Warping in Python / C (using ctypes)

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

Bayesian Generalized Linear Models with Time-Varying Coefficients

Classifying time series using feature extraction

Forecast time series and stock prices with SCINet

A time series database prototype with multiple backends

Code examples for pyFTS

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

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

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.

Resampling Tools for Time Series Forecasting with Modeltime

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

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

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

Open weather data for humans

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

Hands-on training labs for Deep Learning in Time Series course by CERTIFAI

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

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

Using LSTM network for time series forecasting

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

Scalable machine 🤖 learning for time series forecasting.

Univariate and multivariate time series forecasting

Reusable CNN and RNN model doing time series binary classification

Model data as beliefs (at a certain time) about events (at a certain time).

If you can measure it, consider it predicted

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

Statistical inference on machine learning or general non-parametric models

R Functions implementing UCR Matrix Profile Algorithm

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

ES6 module of cubism.js, based on d3v5.

Example of order book modeling.

Acquire data with honour and wisdom — using the way of the ninja.

A Java library for Matrix Profile

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

Renewcast: Forecasting Renewable Electricity Generation in EU Countries.

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

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

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.

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

Periodic time series analysis tools based on information theory

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

A Python Package For System Identification Using NARMAX Models