New in the #wip section:
VLML is a #machinelearning framework that aims to take some of the hassle out getting your hands dirty with machine learning, making it a relatively easy to get started. VLML uses #CNTK as its back end, one of the most performant machine learning libraries out there.
#Xenko basics tutorials are out:
(OK, Google) "Let's bring open source and technical writer communities together, to the benefit of both. Together we raise awareness of open source, of docs, and of technical writing.": https://developers.google.com/season-of-docs/
$Q Super Quick Recognizer in #vl
New in the #wip section: TrackObjects solves the problem of following and identifying objects over time and assigns a unique ID to them. Useful when you get blobs from some object detection routine that doesn’t care about IDs.
Allright, our new website is now up and running at https://funkwhale.audio/ 🎉 🎉 🎉
- Cute illustrations drawed by @robin
- Cleaner, mobile-first design
- More accurate and accessible explanations about the project
- A brand new #Funkwhale pod selector
- A brand new "Applications" page listing Funkwhale-compatible apps
- Internationalization-ready content, so we can translate the site in many languages!
Many thanks to testers, proof-readers, designers and everyone who helped!
A social space for anyone in data, visualization, creative coding, and related arts and research. Share your work, discuss, critique, and ask for help! Come one, come all:
→ creative coders
→ data scientists and visualizers
→ generative artists
→ visual researchers, curators, and critics
→ anyone else data- or visualization-adjacent
If you are curious about the world and creativity, you are welcome here. Learn more.