Standardizing on https

.github/CODING.md

@@ -57,7 +57,7 @@ tests. In the meantime, please format your C code in accordance with [Google's C
 
 ### Documentation guidelines
 
-We use [Sphinx](https://www.sphinx-doc.org/en/master/) to auto-generate the project's [docs](http://radiointelligence.io/). All docstrings must adhere to the 
+We use [Sphinx](https://www.sphinx-doc.org/en/master/) to auto-generate the project's [docs](https://radiointelligence.io/). All docstrings must adhere to the 
 [Sphinx docstring format](https://sphinx-rtd-tutorial.readthedocs.io/en/latest/docstrings.html#the-sphinx-docstring-format).
 
 Types mentioning in the docstring should be expressed in plain English rather than using Python's type hint syntax 
@@ -93,7 +93,7 @@ Please keep your pull requests concise and focused. We recommend limiting your p
 
 ## Building docs
 
-We use [Sphinx](https://www.sphinx-doc.org/en/master/) to auto-generate the project's [docs](http://radiointelligence.io/). When making changes, we use `sphinx-autobuild` to 
+We use [Sphinx](https://www.sphinx-doc.org/en/master/) to auto-generate the project's [docs](https://radiointelligence.io/). When making changes, we use `sphinx-autobuild` to 
 auto-detect these changes. This means you only need to build the docs once, and any changes to the source code or 
 configurations are live-reload in the browser.
 

README.md

@@ -21,7 +21,7 @@
     <img src="https://img.shields.io/pypi/status/ria"/>
   </a>
   <!-- Docs -->
-  <a href="http://radiointelligence.io/">
+  <a href="https://radiointelligence.io/">
     <img src="https://img.shields.io/badge/docs-ria--core-blue"/>
   </a>
 </p>
@@ -82,7 +82,7 @@ conda install ria
 
 Interfacing with your local SDR hardware may require additional drivers and configurations.
 
-Please refer to the [documentation](http://radiointelligence.io/) for more information on getting
+Please refer to the [documentation](https://radiointelligence.io/) for more information on getting
 started with RIA Core.
 
 
@@ -150,7 +150,7 @@ lte_nr_classifier.to_onnx("models/classifier.onnx")
 If RIA's syntax feels familiar, that's because RIA is built on [PyTorch](https://pytorch.org/docs/stable/data.html) 
 and [PyTorch Lightning](https://lightning.ai/docs/pytorch/stable/)! 
 
-Please refer to the [documentation](http://radiointelligence.io/) for additional usage examples. If you 
+Please refer to the [documentation](https://radiointelligence.io/) for additional usage examples. If you 
 encounter any difficulties, don't hesitate to reach out on our open [support forum](https://github.com/qoherent/ria/discussions/categories/support).
 
 Additional back-ends can be made available. Please [contact us](https://www.qoherent.ai/contact/) for further details.

meta.yaml

@@ -64,7 +64,7 @@ about:
   license: AGPL-3.0-or-later
   license_file: LICENSE
   dev_url: https://github.com/qoherent/ria/
-  doc_url: http://radiointelligence.io/
+  doc_url: https://radiointelligence.io/
 
 extra:
   recipe-maintainers: