Materialen aus unserem #BYODL zu #OCR und #LLMs für die automatische #Texterkennung findet ihr auch auf GitHub:

https://monikabarget.github.io/atr-historical-research/

🚧 Wichtiger Hinweis: Das Repo ist "work in progress" und wird sicherlich weiter erweitert. Code Beispiele liegen derzeit vor allem für #Colab vor, da #BinderHub leider nicht stabil genug lief. Außerdem ist das Deployment noch nicht für Mobiltelefone optimiert. Also benutzt vorläufig bitte größere Bildschirme.

@DHLab_IEG @hermes_datenkompetenzzentrum

#BinderHub is an #OpenScience tool that runs on Kubernetes and allows users to create custom computing environments that can be shared and used by many remote users. However, to provide a reliable service to a growing number of users, BinderHub needs organisations to #donate computational power and join their federation:

https://mybinder.readthedocs.io/en/latest/about/federation.html

Please share this with your institutions and cross-institutional bodies, especially if you regularly need to share code with external users.

Integrating BinderHub with JupyterHub 🚀

Integrating the capabilities of mybinder.org and #BinderHub into #JupyterHub allows users to control their computational research environments and significantly reduces the workload for administrators.

🔍 Learn more about our work:
🔗 https://2i2c.org/blog/2024/jupyterhub-binderhub-gesis/

A collaboration between @2i2c_org and @GESIS and the amazing #Jupyter community. Funded by @NFDI4DS, @NFDI, and CESSDA.eu.

#OpenScience #OpenSource #Reproducibility

Yay! The ARDC's #BinderHub service is live! Researchers in Australian universities can now spin up #Jupyter repositories in locally-based virtual machines. https://ardc.edu.au/services/ardc-nectar-research-cloud/ardc-binderhub-service/ 🎉

I'll be adding buttons & links from the #GLAMWorkbench to use the ARDC Binder service – just waiting for a problem with Trove to be fixed by the NLA. #researchInfrastructure

Great pleasure to speak at #PaNOSC event about the "EOSC Jupyter Vision": exploit #Jupyter tools such as #notebook, and #BinderHub for European Open Science Cloud (#EOSC).

Key idea: combine data set in data repository with software to read & analyse data, provide high level examples in notebooks. Provides #reproducibility and #FAIR data. Use binder to specify and build software required.

Presentation slides (https://www.desy.de/~fangohr/publications/talks/2022-11-29-hans-fangohr-eosc-jupyter-vision.pdf) and publication (https://doi.org/10.18429/JACoW-ICALEPCS2019-TUCPR02) are online.

#PythonForSciComp is now live on Twitch. Upcoming schedule:

- now: dependencies (#pip, #conda, environments, requirements.txt, environment.yml)
- in about an hour: #BinderHub #reproducibleresearch

https://twitch.tv/coderefinery

#PythonForSciComp day 3 has finished, and it went great!

Tomorrow we switch and focus on the big picture of #ReproducibleResearch, using and reusing #python code.
- Dependency management with #pip #conda #mamba #virtualenv - keep your work organized!
- #MyBinder / #BinderHub for making code easy-to-run by others in the cloud
- Packaging and sharing Python libs
- A #PanelDiscussion where you can ask us anything
- Wrap-up and after-party

Tomorrow 9:50 EET / 8:50 CET, https://scicomp.aalto.fi/training/scip/python-for-scicomp-2022/

New tutorial on the NSF-funded #Openstack cloud Jetstream 2:

Deploy #BinderHub on top of
#Kubernetes
https://docs.jetstream-cloud.org/general/k8sbinderhub/

Now hosted directly on the Jetstream documentation website.