Readme badges

Author: Alec Helbling

LICENSE.md

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+MIT License
+
+Copyright (c) 2022 Alec Helbling
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Readme.md

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 # Manim Machine Learning
+<a href="https://github.com/helblazer811/ManimMachineLearning">
+    <img src="examples/ManimMLLogo.gif">
+</a>
+
+[![GitHub license](https://badgen.net/github/license/Naereen/Strapdown.js)](https://github.com/Naereen/StrapDown.js/blob/master/LICENSE)
+[![GitHub tag](https://img.shields.io/github/tag/Naereen/StrapDown.js.svg)](https://github.com/Naereen/StrapDown.js/tags/)
+[![Github all releases](https://img.shields.io/github/downloads/Naereen/StrapDown.js/total.svg)](https://github.com/Naereen/StrapDown.js/releases/)
 
-<img src="examples/ManimMLLogo.gif">
 
 Manim Machine Learning is a project focused on providing animations and visualizations of common machine learning concepts with the [Manim Community Library](https://www.manim.community/). We want this project to be a compilation of primitive visualizations that can be easily combined to create videos about complex machine learning concepts. Additionally, we want to provide a set of abstractions which allow users to focus on explanations instead of software engineering.