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ResponsibleML
Tools for Explainable, Fair and Responsible ML.
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Python
Artur Żółkowski
in
ResponsibleML
Nov 18, 2021
Explaining correlated variables — how dalex makes it possible?
The short answer is the Aspect module…
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47
Mateusz Krzyziński
in
ResponsibleML
Sep 13, 2021
How to explain your model avoiding the dependency pitfall?
Using Aspect — the newly added module in…
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45
Jakub Wiśniewski
in
ResponsibleML
Apr 30, 2021
What? Fairness in regression?
Bringing fairness to regression problems
Why it was a problem?
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41
Anna Kozak
in
ResponsibleML
Jan 17, 2021
BASIC XAI
BASIC XAI with DALEX — Part 7: Ceteris Paribus profiles
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12
Jakub Wiśniewski
in
ResponsibleML
Jan 12, 2021
Visualizing ML model bias with dalex
Using python packages dalex and fairtorch
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31
Anna Kozak
in
ResponsibleML
Jan 3, 2021
BASIC XAI
BASIC XAI with DALEX — Part 6: LIME method
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8
1 response
Anna Kozak
in
ResponsibleML
Dec 13, 2020
BASIC XAI
BASIC XAI with DALEX — Part 5: Shapley values
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21
Piotr Piątyszek
in
ResponsibleML
Dec 8, 2020
Python has now the new way of exploring XAI explanations.
When mentioning an arena, you supposedly…
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80
Anna Kozak
in
ResponsibleML
Nov 29, 2020
BASIC XAI
BASIC XAI with DALEX — Part 4: Break Down method
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64
1 response
Anna Kozak
in
ResponsibleML
Nov 15, 2020
BASIC XAI
BASIC XAI with DALEX — Part 3: Partial Dependence Profile
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38