generated from carpentries/workbench-template-md
-
-
Notifications
You must be signed in to change notification settings - Fork 5
/
config.yaml
87 lines (70 loc) · 2.2 KB
/
config.yaml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
#------------------------------------------------------------
# Values for this lesson.
#------------------------------------------------------------
# Which carpentry is this (swc, dc, lc, or cp)?
# swc: Software Carpentry
# dc: Data Carpentry
# lc: Library Carpentry
# cp: Carpentries (to use for instructor training for instance)
# incubator: The Carpentries Incubator
carpentry: 'incubator'
# Overall title for pages.
title: 'Trustworthy AI: Explainability, Bias, Fairness, and Safety'
# Date the lesson was created (YYYY-MM-DD, this is empty by default)
created: 2023-12-05
# Comma-separated list of keywords for the lesson
keywords: 'fairness, explainability, fair machine learning, interpretable machine learning, xai, lesson, The Carpentries'
# Life cycle stage of the lesson
# possible values: pre-alpha, alpha, beta, stable
life_cycle: 'alpha' # FIXME
# License of the lesson
license: 'CC-BY 4.0'
# Link to the source repository for this lesson
source: 'https://github.com/carpentries-incubator/fair-explainable-ml'
# Default branch of your lesson
branch: 'main'
# Who to contact if there are any issues
contact: '[email protected]'
# Navigation ------------------------------------------------
#
# Use the following menu items to specify the order of
# individual pages in each dropdown section. Leave blank to
# include all pages in the folder.
#
# Example -------------
#
# learners:
# - setup.md
#
# instructors:
# - instructor-notes.md
#
# profiles:
# - one-learner.md
# - another-learner.md
# Order of episodes in your lesson
episodes:
- 0-introduction.md
- 1-preparing-to-train.md
- 2-model-eval-and-fairness.md
- 3-model-fairness-deep-dive.md
- 4-explainability-vs-interpretability.md
- 5a-explainable-AI-method-overview.md
- 5c-probes.md
- 5d-gradcam.md
- 6-uncertainty-overview.md
- 7a-OOD-detection-overview.md
- 7b-OOD-detection-softmax.md
- 7c-OOD-detection-energy.md
- 7d-OOD-detection-distance.md
- 8-releasing-a-model.md
# Information for Learners
learners:
# Information for Instructors
instructors:
# Learner Profiles
profiles:
# Customisation ---------------------------------------------
#
# This space below is where custom yaml items (e.g. pinning
# sandpaper and varnish versions) should live