420 Open source projects that are alternatives of or similar to ahead

Full Bayesian Inference for Hidden Markov Models

Dynamic Time Warping in Python / C (using ctypes)

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.

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

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

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

LSTM Mobility Model implementation using Tensorflow

Poor man's time series functionality for PostgreSQL

Lecture Slides for Introduction to Data Science

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

Wavefront Proxy Project

Example of order book modeling.

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

Code examples for pyFTS

A Python Package For System Identification Using NARMAX Models

sknifedatar is a package that serves primarily as an extension to the modeltime 📦 ecosystem. In addition to some functionalities of spatial data and visualization.

Wavefront plugin for go-metrics

JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"

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

PyTorch implementations of neural networks for timeseries classification

Time Series Ensemble Forecasting

Time series market data

Python package for automatically constructing features from multiple time series

Statistical inference on machine learning or general non-parametric models

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

Forecast time series and stock prices with SCINet

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

Matlab library for gradient descent algorithms: Version 1.0.1

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

A Java library for Matrix Profile

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

Renewcast: Forecasting Renewable Electricity Generation in EU Countries.

ES6 module of cubism.js, based on d3v5.

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.

Using LSTM network for time series forecasting

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

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

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

Scalable machine 🤖 learning for time series forecasting.

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

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.

Reusable CNN and RNN model doing time series binary classification

Official code for UnICORNN (ICML 2021)

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

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

If you can measure it, consider it predicted

Functions for easily making publication-quality figures with matplotlib.

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

Predict time-series with one line of code.

Bayesian Generalized Linear Models with Time-Varying Coefficients

Probably the best curated list of data science books in Python

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

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

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

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

Classifying time series using feature extraction

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

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