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mkdocs.yml
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mkdocs.yml
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site_name: CMS Machine Learning Documentation
site_url: https://cms-ml.github.io/documentation
site_description: Documentation of the CMS Machine Learning Group
site_author: CMS Machine Learning Group
docs_dir: content
site_dir: site
edit_uri: blob/master/content
repo_name: cms-ml/documentation
repo_url: https://github.com/cms-ml/documentation
use_directory_urls: false
copyright: Copyright © 2020-2023 CMS Machine Learning Group
theme:
name: material
logo: images/logo.png
favicon: images/favicon.png
palette:
- media: "(prefers-color-scheme: dark)"
scheme: slate
primary: indigo
accent: orange
toggle:
icon: material/weather-sunny
name: Switch to light mode
- media: "(prefers-color-scheme: light)"
scheme: default
primary: indigo
accent: orange
toggle:
icon: material/weather-night
name: Switch to dark mode
features:
- instant
- navigation.sections
plugins:
- search:
lang: en
- minify:
minify_html: true
- markdownextradata
- git-revision-date-localized
- termynal
markdown_extensions:
- admonition
- attr_list
- def_list
- footnotes
- meta
- markdown.extensions.toc:
permalink: true
- pymdownx.arithmatex:
generic: true
- pymdownx.betterem:
smart_enable: all
- pymdownx.caret
- pymdownx.critic
- pymdownx.details
- pymdownx.emoji:
emoji_index: !!python/name:material.extensions.emoji.twemoji
emoji_generator: !!python/name:material.extensions.emoji.to_svg
- pymdownx.highlight
- pymdownx.inlinehilite
- pymdownx.keys
- pymdownx.magiclink:
repo_url_shorthand: true
user: squidfunk
repo: mkdocs-material
- pymdownx.mark
- pymdownx.smartsymbols
- pymdownx.snippets:
check_paths: true
- pymdownx.superfences:
custom_fences:
- name: mermaid
class: mermaid
format: !!python/name:pymdownx.superfences.fence_code_format
- pymdownx.tabbed:
alternate_style: true
- pymdownx.tasklist:
custom_checkbox: true
clickable_checkbox: true
- pymdownx.tilde
extra_javascript:
- https://unpkg.com/mermaid@10.9/dist/mermaid.min.js
- https://polyfill.io/v3/polyfill.min.js?features=es6
- https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js
extra:
FOO: BAR
social:
- icon: fontawesome/brands/github-alt
link: https://github.com/cms-ml
- icon: fontawesome/brands/docker
link: https://hub.docker.com/orgs/cmsml/repositories
- icon: fontawesome/solid/comment-dots
link: https://cms-talk.web.cern.ch/c/physics/ml/104
- icon: fontawesome/solid/envelope
link: mailto:cms-conveners-ml-knowledge@cern.ch
nav:
- Home: index.md
- Newsletters: newsletter/newsletters.md
# - Knowledge Sources:
# - AI Ethics Primer:
# - CMS Internal:
# - IML:
- Innovation:
- ML Journal Club: innovation/journal_club.md
- ML Hackathons: innovation/hackathons.md
- Resources:
- Cloud Resources: resources/cloud_resources/index.md
- Dataset Resources: resources/dataset_resources/index.md
- FPGA Resource: resources/fpga_resources/index.md
- GPU Resources:
- lxplus-gpu: resources/gpu_resources/cms_resources/lxplus_gpu.md
- CERN HTCondor: resources/gpu_resources/cms_resources/lxplus_htcondor.md
- SWAN: resources/gpu_resources/cms_resources/swan.md
- ml.cern.ch: resources/gpu_resources/cms_resources/ml_cern_ch.md
- Guides:
- Software environments:
- LCG environments: software_envs/lcg_environments.md
- Using containers: software_envs/containers.md
- Optimization:
- Model optimization: optimization/model_optimization.md
- Feature importance: optimization/importance.md
- Data augmentation: optimization/data_augmentation.md
- General Advice:
- Introduction: general_advice/intro.md
- Before training:
- Domains: general_advice/before/domains.md
- Features: general_advice/before/features.md
- Inputs: general_advice/before/inputs.md
- Model: general_advice/before/model.md
- Metrics & Losses: general_advice/before/metrics.md
- During training:
- Overfitting: general_advice/during/overfitting.md
- Cross-validation: general_advice/during/xvalidation.md
- Optimisation problems: general_advice/during/opt.md
- After training: general_advice/after/after.md
- Inference:
- Direct inference:
- TensorFlow 2: inference/tensorflow2.md
- TensorFlow AOT: inference/tensorflow_aot.md
- PyTorch: inference/pytorch.md
- PyTorch Geometric: inference/pyg.md
- ONNX: inference/onnx.md
- XGBoost: inference/xgboost.md
- hls4ml: inference/hls4ml.md
- conifer: inference/conifer.md
- Inference as a service:
- Sonic/Triton: inference/sonic_triton.md
- TFaaS: inference/tfaas.md
- Non-standard workflows:
- Standalone framework: inference/standalone.md
- SWAN + AWS: inference/swan_aws.md
- Integration checklist: inference/checklist.md
- Performance: inference/performance.md
- Successful integrations:
- ParticleNet: inference/particlenet.md
- Training:
- Decorrelation: training/Decorrelation.md
- Training as a Service:
- MLaaS4HEP: training/MLaaS4HEP.md
- Autoencoders: training/autoencoders.md
# - Benchmarking: