small changes in intro.

Author: v0lta

docs/index.rst

@@ -8,10 +8,10 @@
 PyTorch Wavelet Toolbox (``ptwt``)
 ==================================
 
-``ptwt`` brings wavelet transforms to PyTorch. The code is open-source, follow the link above
-to go to the source. This package is listed in the Python Package Index (PyPI). Its best installed via pip.
+``ptwt`` brings wavelet transforms to PyTorch. The code is open-source, follow the GitHub link above
+to go to the source. This package is listed in the Python Package Index (PyPI). It's best installed via pip.
 GPU support depends on PyTorch. To take advantage of GPU-processing follow the `PyTorch install instructions`_.
-Install the version that best suits your systems hardware setup. Once PyTorch ist set up, type the following
+Install the version that best suits your system's hardware setup. Once PyTorch is set up, type the following
 to get started:
 
 .. code-block:: sh
@@ -20,12 +20,12 @@ to get started:
 
 This documentation aims to explain the foundations of wavelet theory, introduce the ``ptwt`` package by example, and
 deliver a complete documentation of all functions. Readers who are already familiar with the theory should directly
-jump to the examples or the API-documentation using the navigation on the left.
+jump to the examples or the API documentation using the navigation on the left.
 
 ``ptwt`` is built to be `PyWavelets <https://pywavelets.readthedocs.io/en/latest/>`_ compatible.
 It should be possible to switch back and forth with relative ease.
 
-If you use this work in a scientific context, please cite the following thesis:
+If you use this work in a scientific context, please cite the following paper:
 
 .. code-block::