sktime
A unified framework for ML with time series
- 8
- Projects
- 2
- Years accepted
- 5
- In 2024
Projects by year
82024
5 acceptedShow
Sktime integration with deep learning backends - pytorch and huggingface
Accepted project · by Armaghan
Sktime provides a user-friendly interface for a range of forecasting algorithms and time-series functionalities. To enhance its capabilities further,...
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...
Scaling backends, foundation models, PyTorch, darts and pytorch-forecasting with sktime.
Accepted project · by 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,...
Scaling Backends : Polars, Hugging Face and Foundation Models
Accepted project · by 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...
This project enables global forecasting in sktime. 1. design and implement global forecasting API in sktime. 2. add pytorch-forecasting models with...
2022
3 acceptedShow
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...
The M-Competitions are a series of open competitions to evaluate forecasting methods for time-series data. The most recent competition in this...
This project will focus on broadening the suite of anomaly detection techniques within sktime. Specifically, it will focus on the incorporation of...
