GSoC Participation History
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Sktime integration with deep learning backends - pytorch and huggingface
Sktime provides a user-friendly interface for a range of forecasting algorithms and time-series functionalities. To enhance its capabilities further,...
Adding Support for Categorical Features
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.
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
The idea behind this project is to integrate data backends like Polars and deep learning foundation models from libraries like Hugging-Face and...
Deep Learning Forecasters with Global Forecasting API
This project enables global forecasting in sktime. 1. design and implement global forecasting API in sktime. 2. add pytorch-forecasting models with...
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