Add Github badges (#51)

* Add Github badges

Signed-off-by: Charlie Truong <chtruong@nvidia.com>

Author: chtruong814

README.md

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 # Emerging Optimizers
 
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+<!-- Get the codecov badge with a token direct from https://app.codecov.io/gh/NVIDIA-NeMo -->
+[![codecov](https://codecov.io/gh/NVIDIA-NeMo/Emerging-Optimizers/graph/badge.svg?token=IQ6U7IFYN0)](https://codecov.io/gh/NVIDIA-NeMo/Emerging-Optimizers)
+[![CICD NeMo](https://github.com/NVIDIA-NeMo/Emerging-Optimizers/actions/workflows/cicd-main.yml/badge.svg?branch=main)](https://github.com/NVIDIA-NeMo/Emerging-Optimizers/actions/workflows/cicd-main.yml)
+[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/release/python-3100/)
+![GitHub Repo stars](https://img.shields.io/github/stars/NVIDIA-NeMo/Emerging-Optimizers)
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 ## Overview
 
 Emerging Optimizers is a research project focused on understanding and optimizing the algorithmic behavior of emerging optimizers (including Shampoo, SOAP, Muon, and others) and their implications to performance of GPU systems in LLM training.