74 Open source projects that are alternatives of or similar to Deeptime

Resources for working with time series and sequence data

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

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

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

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.

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

时间序列分析教程

TSrepr: R package for time series representations

Climate Data Science and Earth Observation with Python.

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

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

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

Query engine for TrailDB

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。

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

My Experiments with Time Series

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

Basis Function Expansions for Julia

A language for time-series analysis

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

A unified framework for machine learning with time series

Code examples for pyFTS

A framework for systemic risk valuation and analysis.

Simple python example on how to use ARIMA models to analyze and predict time series.

InceptionTime: Finding AlexNet for Time Series Classification

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

Predict time-series with one line of code.

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

A framework for historical volatility estimation and analysis.

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

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

A compiler for Bayesian time series models.

Berlin Time Series Analysis Repository

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

No description or website provided.

A high-level Bayesian analysis API written in Python

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

LiCSBAS: InSAR time series analysis package using LiCSAR products

Time Series Decomposition techniques and random forest algorithm on sales data

Anomaly detection related books, papers, videos, and toolboxes

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

Fast & scalable MCMC for all your exoplanet needs!

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

Highly comparative time-series analysis

Work related to time series prediction and forecasting of Coronavirus

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

A COVID-19 dataset with 90 World countries including Algeria.

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

Unofficial Python implementation of "Precision and Recall for Time Series".

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

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.

Axibase Time Series Database: Usage Examples and Research Articles

Python tools for spatial trajectory and time-series data analysis

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

Transfer learning for time series classification

Stock Analysis Tutorial in Python

A machine learning toolkit dedicated to time-series data

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

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

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