Temporarily convert README to all Markdown (#187)

We'd love to highlight NuMojo on the Modular website, but unfortunately
we don't currently support parsing HTML from READMEs. I'm wondering if
you'd be open to temporarily converting the README for the project to
all Markdown as I've done in this PR – this will allow us to highlight
your project, and we'll work on getting support for parsing HTML in
READMEs in the meantime.

@shivasankarka @forfudan @MadAlex1997 @sandstromviktor

---------

Co-authored-by: ZHU Yuhao 朱宇浩 <[email protected]>

Author: carolinefrasca

README.MD

@@ -1,72 +1,36 @@
-<a name="readme-top"></a>
-<!-- add these later -->
-<!-- [![MIT License][license-shield]][] -->
-
-<div align="center">
-  <a href="">
-    <img src="./assets/numojo_logo.png" alt="Logo" width="350" height="350">
-  </a>
-
-  <h1 align="center" style="font-size: 3em; color: white; font-family: 'Avenir'; text-shadow: 1px 1px orange;">NuMojo</h1>
-
-  <p align="center">
-    NuMojo is a library for numerical computing in Mojo 🔥 similar to NumPy, SciPy in Python.
-    <br />
-    <!-- when we create docs -->
-    <div style="font-family: 'Arial'; border: 1px solid black; padding: 5px;">
-        <a href="https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo-Examples-and-Benchmarks/blob/main/docs/README.md"><strong>Explore the docs» </strong></a> &nbsp; &nbsp;
-        <a href="./docs/changelog.md"><strong>Changelog» </strong></a> &nbsp; &nbsp;
-        <a href="https://discord.com/channels/1149778565756366939/1149778566603620455" ><strong>Check out our Discord» </strong></a>
-    </div>
-    <br />
-    <div style="font-family: 'Arial'; border: 1px solid black; padding: 5px;">
-        <a href="./docs/readme_zhs.md"><strong>中文·简» </strong></a> &nbsp; 
-        <a href="./docs/readme_zht.md"><strong>中文·繁» </strong></a> &nbsp;
-        <a href="./docs/readme_jp.md"><strong>日本語» </strong></a>
-    </div>
-    <!-- <a href="./docs/readme_kr.md"><strong>한국어 문서» </strong></a> -->
-    <!-- <br /> -->
-    <!-- <br /> -->
-    <!-- <a href="">View Demo</a>
-    ·
-    <a href="">Report Bug</a>
-    ·
-    <a href="">Request Feature</a> -->
-  </p>
-</div>
-
-<details>
-  <summary>Table of Contents</summary>
-  <ol>
-    <li>
-      <a href="#about-the-project">About The Project</a>
-      <ul>
-        <li><a href="#what-numojo-is"> What NuMojo is </a></li>
-        <li><a href="#what-numojo-is-not">What NuMojo is not</a></li>
-      </ul>
-    </li>
-    <li><a href="#goals">Goals</a></li>
-    <li><a href="#usage">Usage</a></li>
-    <li><a href="#how-to-install">How to install</a></li>
-    <li><a href="#contributing">Contributing</a></li>
-    <li><a href="#warnings">Warnings</a></li>
-    <li><a href="#license">License</a></li>
-    <li><a href="#acknowledgments">Acknowledgments</a></li>
-    <li><a href="#Contributors">Contributors</a></li>
-  </ol>
-</details>
+# NuMojo
+
+![logo](./assets/numojo_logo_360x360.png)
+
+NuMojo is a library for numerical computing in Mojo 🔥 similar to NumPy, SciPy in Python.
+
+**[Explore the docs»](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo-Examples-and-Benchmarks/blob/main/docs/README.md)**   **[Changelog»](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/blob/main/docs/changelog.md)**   **[Check out our Discord»](https://discord.com/channels/1149778565756366939/1149778566603620455)**
+
+**[中文·简»](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/blob/main/docs/readme_zhs.md)**   **[中文·繁»](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/blob/main/docs/readme_zht.md)**   **[日本語»](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/blob/main/docs/readme_jp.md)**
+
+**Table of Contents**
+
+1. [About The Project](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/blob/main/README.MD#about-the-project)
+2. [Goals](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/blob/main/README.MD#goals)
+3. [Usage](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/blob/main/README.MD#usage)
+4. [How to install](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/blob/main/README.MD#how-to-install)
+5. [Contributing](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/blob/main/README.MD#contributing)
+6. [Warnings](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/blob/main/README.MD#warnings)
+7. [License](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/blob/main/README.MD#license)
+8. [Acknowledgements](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/blob/main/README.MD#acknowledgments)
+9. [Contributors](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/blob/main/README.MD#Contributors)
 
 ## About the project
 
-### What NuMojo is
+***What NuMojo is***
 
 NuMojo intends to capture a wide swath of numerics capability present in the Python packages NumPy, SciPy, and Scikit.
 
 NuMojo intends to try and get the most out of the capabilities of Mojo including vectorization, parallelization, and GPU acceleration (once available). Currently, NuMojo extends (most of) the standard library math functions to work on array inputs.
 
 We intend NuMojo to be a building block for other Mojo packages that need fast math under the hood without the added weight of a ML back and forward propagation system
 
-### What NuMojo is not
+***What NuMojo is not***
 
 NuMojo is not a machine learning library, it will never include back-propagation in the base library.
 
@@ -257,4 +221,4 @@ Built in native [Mojo](https://github.com/modularml/mojo) which was created by [
 
 <a href="https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/graphs/contributors">
   <img src="https://contrib.rocks/image?repo=Mojo-Numerics-and-Algorithms-group/NuMojo" />
-</a>
+</a>