We have hosted the application awesome conformal prediction in order to run this application in our online workstations with Wine or directly.
Quick description about awesome conformal prediction:
awesome-conformal-prediction is a curated �awesome list� repository on GitHub collecting high-quality resources related to conformal prediction: tutorials, books, papers, theses, open-source libraries, videos, and other educational material. It is not a software library itself but a directory of resources for those wanting to learn or work with conformal prediction and uncertainty quantification.Features:
- Large curated collection of academic papers, books, MSc/PhD theses, tutorials etc related to conformal prediction
- Open-source libraries and implementations in multiple languages (R, Python, Julia etc.) referenced / linked so users can find code to try out
- Videos / lectures, courses, blog posts etc included for varied learning styles
- Regular updates to include new resources (papers, tutorials etc.) as the field develops
- Categorization / structure: separating resources by type (libraries, theory, tutorials, etc.) to help users navigate efficiently
- Licensing / citation guidance�entries often point to license of the resource, or include citation files (CITATION.cff) etc.
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