updates - not yet published

Author: nocomplexity

_config.yml

@@ -76,5 +76,13 @@ sphinx:
   local_extensions          :   # A list of local extensions to load by sphinx specified by "name: path" items
   config:
     html_show_copyright: false
-    
-  
+    html_theme_options:
+      repository_url: "https://github.com/nocomplexity/FreeAndOpenMachineLearning"
+      repository_branch: "master" 
+      use_repository_button: True
+      use_edit_page_button: True
+      use_issues_button: True         
+      logo:
+           text: "<b>Free and Open Machine Learning</b>"
+      extra_footer: '<p><a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-sa/4.0/88x31.png" /></a> <i>(c)Copyright 2018-2023, BM-Support.org - Maikel Mardjan. This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/">Creative Commons Attribution-ShareAlike 4.0 International License</i></a>.</p>'
+      

_toc.yml

@@ -21,6 +21,9 @@ parts:
     - file: mltools
     - file: mlhosting
     - file: nlpframeworks
+- caption: Courses
+  chapters:
+  - file: mlcourses
 - caption: Open References
   chapters:
   - file: MLlearningresources

mlcourses.md

@@ -0,0 +1,74 @@
+# ML courses
+
+
+
+::::{grid} 3
+:class-container: text-center
+:gutter: 3
+
+
+:::{grid-item-card} 
+:link: https://www.tomasbeuzen.com/deep-learning-with-pytorch/README.html
+{octicon}`book;1em;caption-text` **Deep Learning with PyTorch**
+^^^
+```{image} https://www.tomasbeuzen.com/deep-learning-with-pytorch/_images/logo.png
+:height: 100px
+```
+
+Optimization algorithms, neural networks for regression and classification tasks, convolutional neural networks for image classification, transfer learning, and even generative adversarial networks (GANs)
+
++++
+[Check this Course Book »](https://www.tomasbeuzen.com/deep-learning-with-pytorch/README.html)
+:::
+
+:::{grid-item-card}
+{octicon}`book;1em;caption-text` **Learn PyTorch for Deep Learning: Zero to Mastery book**
+^^^
+```{image} https://raw.githubusercontent.com/mrdbourke/pytorch-deep-learning/main/images/misc-pytorch-course-launch-cover-white-text-black-background.jpg
+:height: 100px
+```
+
+Online book  version of the Learn PyTorch for Deep Learning: Zero to Mastery course. With also a 
+[A Quick PyTorch 2.0 Tutorial](https://www.learnpytorch.io/pytorch_2_intro/)
+
++++
+[Check this book »](https://www.learnpytorch.io/)
+:::
+
+:::{grid-item-card}
+:link: https://course.fast.ai/
+{octicon}`book;1em;caption-text` **Practical Deep Learning**
+^^^
+```{image} https://course.fast.ai/images/imagine.png 
+:height: 100px
+```
+A course designed for people with some coding experience, who want to learn how to apply deep learning and machine learning to practical problems. 
+
++++
+[Check this course »](https://course.fast.ai/)
+:::
+
+::::
+
+% another row
+
+::::{grid} 3
+:class-container: text-center
+:gutter: 3
+
+
+:::{grid-item-card}
+:link: https://mlc.ai/index.html
+{octicon}`book;1em;caption-text` **Machine Learning Compilation**
+^^^
+```{image} https://mlc.ai/_static/mlc-logo-with-text-landscape.svg
+:height: 100px
+```
+Learn the key abstractions to represent machine learning programs, automatic optimization techniques, and approaches to optimize dependency, memory, and performance in end-to-end machine learning deployment.
+
+*Advanced course*
++++
+[Check this course »](https://mlc.ai/index.html)
+:::
+
+::::