staticvectors makes it easy to work with static vector models. This includes word vector models such as Word2Vec, GloVe and FastText. While Transformers-based models are now the primary way to embed ...
Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...
Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
Objective: To construct and validate a nomogram prediction model for anxiety and depression in chemotherapy patients with multiple myeloma (MM). Methods: From May 2021 to May 2023, 333 MM chemotherapy ...
Abstract: Software Defect Prediction improves the software's stability and ensures the testing process is streamlined by pointing out issues in code. Software developers can manage and use their ...
Abstract: Topological indices (TIs) are valuable tools in the study of blood cancer drugs, offering insights into molecular structure and associated properties critical for assessing efficacy and ...
A comprehensive Python framework designed for exploring the loss landscapes of deep learning models.
Landscaper is available on PyPI, making it easy to install and integrate into your projects. @misc{https://doi.org/10.5281/zenodo.15874987, doi = {10.5281/ZENODO ...
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