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Vue Apexcharts ⭐ 1,292

📊 Vue.js component for ApexCharts

Bayesian_changepoint_detection ⭐ 597

Methods to get the probability of a changepoint in a time series.

Deltapy ⭐ 411

DeltaPy - Tabular Data Augmentation (by @firmai)

Katas List Of Training Js Series ⭐ 304

Katas list of Training JS series

Ng Apexcharts ⭐ 278

ng-apexcharts is an implementation of apexcharts for angular. It comes with one simple component that enables you to use apexcharts in an angular project.

An open source library for Fuzzy Time Series in Python

Vue3 Apexcharts ⭐ 213

📊 Vue-3 component for ApexCharts

BATS and TBATS forecasting methods

Trendyways ⭐ 151

Simple javascript library containing methods for financial technical analysis

Pandas Path ⭐ 47

Use pathlib syntax to easily work with Pandas series containing file paths.

Derivative ⭐ 43

Optimal numerical differentiation of noisy time series data in python.

Zingchart Jquery ⭐ 43

Easy ZingChart manipulation and interactivity for jQuery users.

Eia Python ⭐ 37

Python Wrapper for the Energy Information Administration (EIA) API

pyWATTS: Python Workflow Automation Tool for Time-Series

Time Series ⭐ 34

The purpose of this repo is to implement & analyze various deep learning and hybrid approaches to time-series classification and regression problems, as well as compare performance to more traditional statistical methods.

Tempdisagg ⭐ 32

Methods for Temporal Disaggregation and Interpolation of Time Series

Openseries ⭐ 20

OpenSeries is a project with tools to analyse financial timeseries of a single asset or a group of assets. It is solely made for daily or less frequent data.

Singular Spectrum Analysis methods implementation in Python

Tealeaves ⭐ 13

Simple forecasting methods for time series data, in pure Ruby

Mlforforecasting ⭐ 13

Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters

Exp Meth Iii Tutorials ⭐ 13

An series of tutorials for the course Experimental Methods III

Imperial Multigrid ⭐ 12

Multigrid Methods - An Overview, A lecture series at Imperial College

Methods for detecting abrupt change in temporal, spatial, and spatiotemporal data series

⁉️ AsyncAF (A.K.A. async-af, A.K.A. Async/Await Fun) - chainable asynchronous JavaScript methods that mirror their native counterparts and other tools for your asynchronous utility belt--zero dependencies

Feature Selection Techniques ⭐ 11

Python code source for features selection 👨‍🔬 series on medium website. 📰

Node Fluid ⭐ 10

A useful node.js module that acts as an extension to the existing Async module. Dynamically create fluent interfaces the easy way. Chain method calls across multiple objects and flow control types. Consume ANY object fluently.

Java Tutorials ⭐ 10

The code used in my Java video series.

Lasforecast ⭐ 7

Time series forecasting with Lasso-type shrinkage methods

Retail_store_sales_forecasting ⭐ 7

Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and current methods such as Prophet, Long Short-Term Memory (LSTM), and Convolutional Neural Network (CNN)

Covid 19 Forecasting ⭐ 6

Analysis of forecasting methods using COVID-19 time series data.

Bluebird Extra ⭐ 5

Extra methods for bluebird promises library

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