Sktime integration with deep learning backends - pytorch and huggingface
Contributor: Armaghan
Sktime provides a user-friendly interface for a range of forecasting algorithms and time-series functionalities. To enhance its capabilities further,...
A unified framework for ML with time series
Contributor: Armaghan
Sktime provides a user-friendly interface for a range of forecasting algorithms and time-series functionalities. To enhance its capabilities further,...
Contributor: Abhay Lejith
sktime in its current state does not support categorical variables in input data and this has been an often requested feature from its users. This...
Contributor: fnhirwa
With Sktime’s goal of unifying machine learning with time series, I intend to contribute to that mission with the project titled “Scaling backends,...
Contributor: Pranav Prajapati
The idea behind this project is to integrate data backends like Polars and deep learning foundation models from libraries like Hugging-Face and...
Contributor: XinyuWu
This project enables global forecasting in sktime. 1. design and implement global forecasting API in sktime. 2. add pytorch-forecasting models with...
Contributor: Mirae P
Real world time series data is not i.i.d, and in fact understanding how the generating distribution shifts over time is part of what makes working...
Contributor: Shivansh Subramanian
The M-Competitions are a series of open competitions to evaluate forecasting methods for time-series data. The most recent competition in this...
Contributor: Katie Buchhorn
This project will focus on broadening the suite of anomaly detection techniques within sktime. Specifically, it will focus on the incorporation of...