Implementation of IEC 60601-2-44 Ed.4 Annex GG for objective evaluation of CT Metal Artifact Reduction (MAR) using DDOG CHO and AUC analysis.
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Updated
Dec 20, 2025 - Python
Implementation of IEC 60601-2-44 Ed.4 Annex GG for objective evaluation of CT Metal Artifact Reduction (MAR) using DDOG CHO and AUC analysis.
PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with different missingness patterns, including MCAR (complete at random), MAR (at random), MNAR (not at random), sub sequence missing, and block missing
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[ICCV2025]LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching
Pronóstico del Tiempo personalizado en Torre del Mar
Simple uncompressed random access archive format
There are multiple file in this every file having different way of doing drowsiness detection . You can perform task with any one of them and don`t forget to upload the sound folder and the 68 face detection dat file in this which will help to detect the landmark on your face it will detect by seeing your EAR and MAR.
This program is used to decompress and compress MAR archives used in Fossil Fighters game.
Missing Values
A library for synthetic missing data generation.
How Different Types of Missingness affect a complete Dataset
A One stop solution of Solutions for Ds and Algo and DSML for #scalerDSMLmar2022 batch students.
Repositorio con enunciados, casos de prueba y soluciones de problemas de MAR2.
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Bootcamp learning python on the zero-to-mastery platform
My personal simpler alternative to mdbook
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