Pinned Repositories
dat
IML_2020_MEPS_g6
Code repo to reproduce some results from the book.
InterpretableMachineLearning2020
Lecture notes for 'Interpretable Machine Learning' at WUT and UoW. Summer semester 2019/2020
nannyml
Detecting silent model failure. NannyML estimates performance with an algorithm called Confidence-based Performance estimation (CBPE), developed by core contributors. It is the only open-source algorithm capable of fully capturing the impact of data drift on performance.
omikuji
An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification
optymalizacja-plecak
sharpness_formula
SPE
Ćwiczenia z SPE 17.11.2018
webinar_resources
xai_stories
XAI Stories. Case studies for eXplainable Artificial Intelligence
rabitwhte's Repositories
rabitwhte/IML_2020_MEPS_g6
Code repo to reproduce some results from the book.
rabitwhte/omikuji
An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification
rabitwhte/dat
rabitwhte/InterpretableMachineLearning2020
Lecture notes for 'Interpretable Machine Learning' at WUT and UoW. Summer semester 2019/2020
rabitwhte/nannyml
Detecting silent model failure. NannyML estimates performance with an algorithm called Confidence-based Performance estimation (CBPE), developed by core contributors. It is the only open-source algorithm capable of fully capturing the impact of data drift on performance.
rabitwhte/optymalizacja-plecak
rabitwhte/sharpness_formula
rabitwhte/SPE
Ćwiczenia z SPE 17.11.2018
rabitwhte/webinar_resources
rabitwhte/xai_stories
XAI Stories. Case studies for eXplainable Artificial Intelligence