497 Open source projects that are alternatives of or similar to fireTS

Predict time-series with one line of code.

Resources for working with time series and sequence data

An End-to-end Outlier Detection System

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

An open source library for Fuzzy Time Series in Python

List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法

Axibase Time Series Database: Usage Examples and Research Articles

A use-case focused tutorial for time series forecasting with python

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.

TSrepr: R package for time series representations

Stock Analysis Tutorial in Python

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

A machine learning toolkit dedicated to time-series data

A unified framework for machine learning with time series

A framework for historical volatility estimation and analysis.

A framework for systemic risk valuation and analysis.

AtsPy: Automated Time Series Models in Python (by @firmai)

No description or website provided.

(Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"

Highly comparative time-series analysis

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

Fast & scalable MCMC for all your exoplanet needs!

Anything can happen in the next half hour (including spectral timing made easy)!

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

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.

A Python Package For System Identification Using NARMAX Models

Probabilistic time series modeling in Python

Code examples for pyFTS

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

CentOS based Docker container for Time Series Analysis and Modeling.

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

Code for "Deep Signature Transforms" (NeurIPS 2019)

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

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.

A paper list for Time series modelling, including prediciton and anomaly detection

super-monorepo for machine learning and algorithmic trading

Berlin Time Series Analysis Repository

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

Sequential Monte Carlo algorithm for approximation of posterior distributions.

Time series competition data

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

A unique time series library in Python that consists of Kalman filters (discrete, extended, and unscented), online ARIMA, and time difference model.

R interface to Brazilian Central Bank web services

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

Using Kalman Filter to Predict Corona Virus Spread

Pairs trading strategy example based on Catalyst

In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.

📈 high level wrapper for parallel univariate time series forecasting 📉

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

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

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.

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

KFAS: R Package for Exponential Family State Space Models

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.

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

MODIS Assimilation and Processing Engine

The official QuestDB website, database documentation and blog.

SVG time-series charting library

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.