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Features Demo

May 6, 2021Last updated: Mar 15, 2023

This is a reference page to see all Markdown elements and styling. All headings have an attached anchor link.

Text Formatting

Code
# Text Formatting

This is a paragraph. **Bold**, *italics*, ~~strikethrough~~, and [links](#text-formatting) as usual.

A blockquote is below.
> Lorem ipsum dolor sit amet, graecis denique ei vel, at duo primis mandamus.

Footnotes can be defined too [^a].

[^a]: This is a footnote.

Emojis are supported :heart:.

Images are rendered with `figure` and `figcaption`. ![Caption is the alt text.](https://octodex.github.com/images/minion.png)

This is a paragraph. Bold, italics, strikethrough, and links as usual.

A blockquote is below.

Lorem ipsum dolor sit amet, graecis denique ei vel, at duo primis mandamus.

Footnotes can be defined too 1.

Emojis are supported ❤️.

Caption is the alt text.
Caption is the alt text.

Hints

Code
!> :white_check_mark: This is a note. $\KaTeX$ works too.
?> :warning: This is a warning.
x> :x: This is an error.

✅ This is a note. KaTeX\KaTeX works too.

⚠️ This is a warning.

❌ This is an error.

Citations

Code
Citations are supported using [rehype-citation](https://github.com/timlrx/rehype-citation).

PyTorch [@Paszke2019PyTorchAI] is an imperative style library for machine learning. Alternatively, JAX [@jax2018github] takes a functional approach. I love both libraries.

Citations are supported using rehype-citation, including inline support.

PyTorch (Paszke et al. 2019) is an imperative style library for machine learning. Alternatively, Bradbury et al. (2018) take a functional approach with JAX. I love both libraries.

Lists

Unordered

Code
### Unordered
+ Lorem ipsum dolor sit amet
+ Nulla volutpat aliquam velit
- Phasellus iaculis neque
- Purus sodales ultricies
  • Lorem ipsum dolor sit amet
  • Nulla volutpat aliquam velit
    • Phasellus iaculis neque
    • Purus sodales ultricies

Ordered

Code

### Ordered
1. Lorem ipsum dolor sit amet
2. Consectetur adipiscing elit
3. Integer molestie lorem at massa
  1. Lorem ipsum dolor sit amet
  2. Consectetur adipiscing elit
  3. Integer molestie lorem at massa

Code Highlighting

Code
Inline code looks like `<p>Inline</p>`.

\```js
console.log('Hello World');
\```

Inline code looks like <p>Inline</p>.


console.log('Hello World');

Math via KaTeX\KaTeX

Code
$$
\tag{1} p(\theta \mid \mathcal{D}) = \frac{p(\mathcal{D}\mid \theta)p(\theta)}{p(\mathcal{D})}
$$

Block equations are supported.

p(θD)=p(Dθ)p(θ)p(D)(1) \tag{1} p(\theta \mid \mathcal{D}) = \frac{p(\mathcal{D}\mid \theta)p(\theta)}{p(\mathcal{D})}

Tables

Code

| Left Aligned Option | Center Aligned Description |
| :------ | :-----------: |
| data | path to data files to supply the data that will be passed into templates. |
| engine | engine to be used for processing templates. Handlebars is the default. |
| ext | extension to be used for dest files. |
Left Aligned OptionCenter Aligned Description
datapath to data files to supply the data that will be passed into templates.
engineengine to be used for processing templates. Handlebars is the default.
extextension to be used for dest files.
Bradbury, James, Roy Frostig, Peter Hawkins, Matthew James Johnson, Chris Leary, Dougal Maclaurin, George Necula, et al. 2018. “JAX: Composable Transformations of Python+NumPy Programs.” http://github.com/google/jax.
Paszke, Adam, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, et al. 2019. “PyTorch: An Imperative Style, High-Performance Deep Learning Library.” In Neural Information Processing Systems. https://pytorch.org.

Footnotes

  1. This is a footnote.

© 2023 Sanyam Kapoor