Top 75 time-series-analysis open source projects

Anomaly detection library based on singular spectrum transformation(sst)

🌝 Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.

bambooBSC is an opensource Balanced Scorecard (BSC) Business Intelligence (BI) Web platform. BSC's Vision, Perspectives, Objectives of strategy, Key Performance Indicators (KPIs), Strategy Map, and SWOT, PDCA & PDCA report, Time Series Analysis.

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

STUMPY is a powerful and scalable Python library for modern time series analysis

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

An End-to-end Outlier Detection System

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

Stock Analysis Tutorial in Python

Fast & scalable MCMC for all your exoplanet needs!

A machine learning toolkit dedicated to time-series data

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

A language for time-series analysis

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

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

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

LiCSBAS: InSAR time series analysis package using LiCSAR products

TSrepr: R package for time series representations

A Python module implementing some standard algorithms used in nonlinear time series analysis

A framework for systemic risk valuation and analysis.

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.

R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R

Query engine for TrailDB

A compiler for Bayesian time series models.

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

A high-level Bayesian analysis API written in Python

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Anomaly detection related books, papers, videos, and toolboxes

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

Highly comparative time-series analysis

A unified framework for machine learning with time series

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

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

Axibase Time Series Database: Usage Examples and Research Articles

InceptionTime: Finding AlexNet for Time Series Classification

Transfer learning for time series classification

Different types of data analytics projects : EDA, PDA, DDA, TSA and much more.....

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

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

A framework for historical volatility estimation and analysis.

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

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

A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPSS工具分享。

Berlin Time Series Analysis Repository

Resources for working with time series and sequence data

No description or website provided.

My Experiments with Time Series

Material for the tutorial, "Time series analysis with pandas" at T-Academy

时间序列分析教程

Time Series Decomposition techniques and random forest algorithm on sales data

Basis Function Expansions for Julia

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

Time Series Data Analysis, Visualization and Forecasting with Python for Health and Self

U-Time: A Fully Convolutional Network for Time Series Segmentation

R Shiny app to compare the relative performance of cryptos and equities.

Work related to time series prediction and forecasting of Coronavirus