-- updated readme

Author: manujosephv

README.md

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 ![PyTorch Tabular](docs/imgs/pytorch_tabular_logo.png)
-**Pre-Release**
 [![pypi](https://img.shields.io/pypi/v/pytorch_tabular.svg)](https://pypi.python.org/pypi/pytorch_tabular)
 [![travis](https://img.shields.io/travis/manujosephv/pytorch_tabular.svg)](https://travis-ci.com/manujosephv/pytorch_tabular)
 [![documentation status](https://readthedocs.org/projects/pytorch_tabular/badge/?version=latest)](https://pytorch_tabular.readthedocs.io/en/latest/?badge=latest)
+![PyPI - Downloads](https://img.shields.io/pypi/dm/pytorch_tabular)
 [![contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat-square)](https://github.com/manujosephv/pytorch_tabular/issues)
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/manujosephv/pytorch_tabular/blob/main/docs/tutorials/01-Basic_Usage.ipynb.py)
 

docs/index.md

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 [![pypi](https://img.shields.io/pypi/v/pytorch_tabular.svg)](https://pypi.python.org/pypi/pytorch_tabular)
 [![travis](https://img.shields.io/travis/manujosephv/pytorch_tabular.svg)](https://travis-ci.com/manujosephv/pytorch_tabular)
 [![documentation status](https://readthedocs.org/projects/pytorch_tabular/badge/?version=latest)](https://pytorch_tabular.readthedocs.io/en/latest/?badge=latest)
+![PyPI - Downloads](https://img.shields.io/pypi/dm/pytorch_tabular)
 [![contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat-square)](https://github.com/manujosephv/pytorch_tabular/issues)
-<!-- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Zhenye-Na/DA-RNN/blob/master/src/da_rnn.ipynb.py) -->
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/manujosephv/pytorch_tabular/blob/main/docs/tutorials/01-Basic_Usage.ipynb.py)
 
 PyTorch Tabular aims to make Deep Learning with Tabular data easy and accessible to real-world cases and research alike. The core principles behind the design of the library are: