Collaborative data science, pretty much wherever you want and however you do it.
Washington, DC
Joined April 2018
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If you haven't caught our "commercial", take 2:14 out of your busy day, listen to the dulcet tones of @HaroldTed's voice over & learn why centralized approaches to DS platforms are just...well, wrong!
youtu.be/8f1KB6YWa-Y
Gigantum Client 1.5.3 is now available! This update fixes bugs and improves the multi-user configuration that is available when connected to a self-hosted server.
Full Release Notes: hubs.li/H0QkC5h0
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Gigantum retweeted
Build it. Move It. Share It.
Gigantum: Hybrid Data Science, a web application for better collaboration while making reproducible research easier
vocal.media/futurism/gigantu…
Gigantum retweeted
Gigantum (@gigantumscience) Joins the Giga Reproducibility Toolkit gigasciencejournal.com/blog/…
Giga Squared! Check out this post in @GigaScience on how @diogomvieira used Gigantum for code submission. gigasciencejournal.com/blog/…
Gigantum retweeted
This has been a super fun project to work on.
blog: digital-science.com/blog/per…
data:
@DSDimensions
network layout: BatchLayout
@khaled_buet
clustering: leiden algorithm @cwtsleiden
animation: @Blender
development: @gigantumscience
Full video: doi.org/10.6084/m9.figshare.…
Hey, hey, hey! We are doing our second (third?) webinar tomorrow at 1 pm EST. It is all about how Gigantum transforms your workflows, and hence your economics. Check it out here: hubs.li/H0NkGdR0
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We updated our Base images with some big changes, including Python 3.8, JupyterLab 3, R 4.0, & more CUDA versions.
This brings a lot of new capabilities, including visual debugging to Python in JupyterLab!
Full Details: hubs.li/H0N4nKH0
We are currently monitoring an outage with our authentication provider.
You may have trouble logging into gigantum.com from the web or a Client at this time.
We will post an update when this issue has been resolved.
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While our authentication provider is continuing to monitor and bring their systems back online, our login service appears to be functioning again.
We will post when the incident is completely resolved.
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Gigantum Client 1.5.2 is out! This small release addresses bugs that were introduced in v1.5.1.
In addition, if you are a Gigantum Desktop user on Windows and are currently running v1.3.0 you must manually update.
See the Release Notes for details: hubs.li/H0LqjTv0
Gigantum Client 1.5.1 is now available!
This release adds some important fixes and a few new features such as Shareable Links and HTTPS support for running the Client as a service.
Check out the release notes for more: hubs.li/H0Lc95Z0
Have you registered for #GTC21 yet? Check out this session by our CTO @DeanKleissas where he'll be talking about moving back and forth between GPU-enabled laptops and the cloud to save money and work faster!
hubs.li/H0K-D9F0
Gigantum Client 1.5.0 is now available!
This release includes bug fixes & many improvements. You can now bundle custom tools and apps in a Project's environment. Version and distribute your code, models, and dashboards with a click!
Full release notes: hubs.li/H0H9GpM0
We are doing a practical introduction to the differences between GPUs & CPUs (via Gigantum, of course) on YouTube Live at 1 pm EST today. If you are free, join us here (hubs.li/H0FYGzr0)!
Gigantum is up on the @digitalocean marketplace. This combines the most user friendly data science platform with the most user friendly commercial cloud. Ridiculously easy deployment of the Client plus they give you $100 in free credits over two months. hubs.li/H0CZC7Q0
We forgot to use the link with our reference code!!
Here is that link: marketplace.digitalocean.com…