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mkdocs.yml
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site_name: Differential Progamming Tutorial
theme:
name: "material"
palette:
primary: "green"
accent: "green"
icon:
logo: "library_books"
features:
- tabs
docs_dir: notebooks/
nav:
- Home: index.md
- Preliminaries:
- Preface: 00-preliminaries/01-preface.md
- Prerequisites: 00-preliminaries/02-prerequisites.md
- Setup: 00-preliminaries/03-setup.md
- Introduction to Differential Programming:
- Neural Networks from Scratch: 01-differential-programming/01-neural-nets-from-scratch.ipynb
- Gradient Based Optimization: 01-differential-programming/02-gradient-optimization.ipynb
- Linear Model: 01-differential-programming/03-linear-model-optimization.ipynb
- Logistic Regression: 01-differential-programming/04-logistic-regression.ipynb
- Neural Networks: 01-differential-programming/05-neural-networks.ipynb
- JAX Programming Idioms:
- Introduction: 02-jax-idioms/00-introduction.ipynb
- Loopless Loops: 02-jax-idioms/01-loopless-loops.ipynb
- Loopy Carry: 02-jax-idioms/02-loopy-carry.ipynb
- Deterministic Randomness: 02-jax-idioms/03-deterministic-randomness.ipynb
- Optimized Learning: 02-jax-idioms/04-optimized-learning.ipynb
- The stax Module:
- Linear Models with stax: 03-stax/01-linear.ipynb
- Neural Networks with stax: 03-stax/02-neural.ipynb
- Gaussian Clustering:
- Introduction: 04-gaussian-clustering/01-intro-gaussian-clustering.ipynb
- Dirichlet Processes: 04-gaussian-clustering/02-dirichlet-processes.ipynb
- DP-GMM: 04-gaussian-clustering/03-dirichlet-process-clustering.ipynb
- Appendix:
- Partials: appendix/02-partials.ipynb
plugins:
- search:
separator: '[\s\-\.]+'
lang:
- en
- mknotebooks:
execute: true
timeout: 600
binder: true
binder_service_name: "gh"
binder_branch: "master"
binder_ui: "lab"
# Taken from here: https://squidfunk.github.io/mkdocs-material/extensions/codehilite/
markdown_extensions:
- codehilite
- pymdownx.arithmatex
- pymdownx.details
- markdown.extensions.footnotes
extra_css:
- https://unpkg.com/[email protected]/dist/mermaid.css
extra_javascript:
- https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.0/MathJax.js?config=TeX-AMS-MML_HTMLorMML
- https://unpkg.com/[email protected]/dist/mermaid.min.js
repo_name: "ericmjl/dl-workshop"
repo_url: "https://github.com/ericmjl/dl-workshop"
extra:
social:
- icon: "material/email"
link: "http://www.shortwhale.com/ericmjl"
- icon: "fontawesome/brands/github"
link: "https://github.com/ericmjl"
- icon: "fontawesome/brands/twitter"
link: "https://twitter.com/ericmjl"
- icon: "fontawesome/brands/linkedin"
link: "https://linkedin.com/in/ericmjl"