A notebook to learn about ML for astronomy through BTSbot.
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Updated
Aug 1, 2024 - Jupyter Notebook
A notebook to learn about ML for astronomy through BTSbot.
Our project enhances Trulens analytics through two key initiatives: developing an interactive visual node for integration in Jupyter notebooks, and creating a comprehensive RAG framework for Trulens documentation. These efforts aim to simplify and enrich the user experience with Trulens, making advanced data analysis more accessible and intuitive.
vision language models finetuning notebooks & use cases (paligemma - florence .....)
Image Captioning using ViT and GPT. Notebook version in the following link
Implementation for the different ML tasks on Kaggle platform with GPUs.
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