Update jupyterhub.md

docs/jupyterhub.md

@@ -26,7 +26,10 @@ We pre-prepared the following images:
 - scipy-notebook ([spec](https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html#jupyter-scipy-notebook))
 - tensorflow-notebook ([spec](https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html#jupyter-tensorflow-notebook))
 - tensorflow-notebook with GPU support ([spec](https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html#jupyter-tensorflow-notebook) but TF v. 2.7.0 and TensorBoard installed)
-- RStudio with R 4.2.1 
+- RStudio with R 4.2.1 or 4.3.1
+- MATLAB R2022b
+- MATLAB R2023a
+- Alphapose
 
 You can choose to build your own image with all dependencies and sotware you need. However, don't forget to include whole jupyter stack, otherwise the the deployment will not work. We recommend building from [existing image](https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html) which already incorporates all nexessary software. If you choose custom image, you have to provide image name together with its repo and optional tag --- input text in format `repo/imagename:tag`. If you build your own image, you have to make sure repository is public. If you don't know what repository to choose, we maintain our own docker registry which you can freely use and does not require any further configuration. More information on registry is available [at a harbor site](https://docs.cerit.io/docs/harbor.html).