/
mkdocs.yml
118 lines (111 loc) · 3.62 KB
/
mkdocs.yml
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
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
site_name: Baal Documentation
repo_url: https://github.com/baal-org/baal
edit_uri: edit/master/docs/
theme:
name: material
logo: _static/images/logo-transparent.png
palette:
# Palette toggle for light mode
- media: "(prefers-color-scheme: light)"
scheme: default
primary: black
toggle:
icon: material/brightness-7
name: Switch to dark mode
# Palette toggle for dark mode
- media: "(prefers-color-scheme: dark)"
scheme: slate
primary: black
toggle:
icon: material/brightness-4
name: Switch to light mode
features:
- navigation.tabs
- navigation.tabs.sticky
- navigation.indexes
- navigation.instant
icon:
repo: fontawesome/brands/github
plugins:
- search
- exclude-search:
exclude_unreferenced: true
exclude:
- notebooks/active_learning_process.md
- /*/active_learning_process*
- /*/nbsphinx*
- mkdocs-jupyter
- mkdocstrings
markdown_extensions:
- md_in_html
- attr_list
- pymdownx.arithmatex:
generic: true
- pymdownx.emoji:
emoji_index: !!python/name:materialx.emoji.twemoji
emoji_generator: !!python/name:materialx.emoji.to_svg
- pymdownx.highlight:
anchor_linenums: true
- admonition
- pymdownx.details
- pymdownx.inlinehilite
- pymdownx.snippets
- pymdownx.superfences
extra_javascript:
- javascripts/mathjax.js
- https://polyfill.io/v3/polyfill.min.js?features=es6
- https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js
extra_css:
- stylesheets/extra.css
nav:
- Home: index.md
- User Guide:
- user_guide/index.md
- Cheat Sheet: user_guide/baal_cheatsheet.md
- Active data structure: notebooks/fundamentals/active-learning.ipynb
- Speeding up Monte-Carlo Inference With MCCachingModule: notebooks/mccaching_layer.ipynb
- Computing uncertainty:
- Stochastic models: notebooks/fundamentals/posteriors.ipynb
- Heuristics: user_guide/heuristics.md
- API:
- api/index.md
- api/bayesian.md
- api/calibration.md
- api/dataset_management.md
- api/heuristics.md
- api/modelwrapper.md
- api/utils.md
- Compatibility:
- api/compatibility/huggingface.md
- api/compatibility/pytorch-lightning.md
- Tutorials:
- tutorials/index.md
- Label Studio:
- tutorials/label-studio-cv.md
- tutorials/label-studio-hf.md
- Compatibility:
- HuggingFace: notebooks/compatibility/nlp_classification.ipynb
- Scikit-learn: notebooks/compatibility/sklearn_tutorial.ipynb
- Production use cases:
- Computer vision: notebooks/production/baal_prod_cls.ipynb
- Text classification: notebooks/production/baal_prod_cls_nlp_hf.ipynb
- Active learning for research: notebooks/active_learning_process.ipynb
- Deep Ensembles for active learning: notebooks/deep_ensemble.ipynb
- Research:
- research/index.md
- Technical Reports:
- Active Fairness: notebooks/fairness/ActiveFairness.ipynb
- research/dirichlet_calibration.md
- research/double_descent.md
- Literature:
- research/literature/index.md
- Additional papers:
- research/literature/Additional papers/dmi.md
- research/literature/Additional papers/duq.md
- research/literature/Additional papers/gyolov3.md
- research/literature/Additional papers/lightcoresets.md
- research/literature/Additional papers/sparse_selection.md
- research/literature/Additional papers/vaal.md
- Support:
- support/index.md
- support/faq.md