DTE

10 ms·

1.
by DTE 8mo ago
Love this. Elegant and powerful. Stateful streams are surprisingly difficult to DIY and as everything becomes a stream of tokens this is super useful tool to have in the toolbox.
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by DTE 8mo ago
Hey HN! We built Paperspace (YCW15) and we are super excited to announce Autonomous. We just announced our $15M fundraise to build the future of financial intelligence. Why do we think now is the time for Autonomous? Millions of people alre
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Autonomous – Superintelligent financial advisor at 0% advisory fees(becomeautonomous.com)
26 points by DTE 8mo ago|5 comments
4.
by DTE 2y ago
Arxiv: https://arxiv.org/abs/2408.04619
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Transformer Explainer: Interactive Learning of Text-Generative Models(poloclub.github.io)
2 points by DTE 2y ago|1 comments
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by DTE 3y ago
Dillon here (CEO @ Paperspace, YCW15). I want to give a huge thanks to the YC community and all the support over the years. We have always admired DO and couldn't be happier to join forces!
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Instant Videos Could Represent the Next Leap in A.I. Technology(nytimes.com)
3 points by DTE 3y ago|2 comments
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Deep Dive: Vision Transformers on HuggingFace Optimum Graphcore(graphcore.ai)
1 points by DTE 4y ago|0 comments
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Runway Sequel: professional video editor made for the web, powered by ML(runwayml.com)
12 points by DTE 5y ago|0 comments
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by DTE 6y ago
We (Paperspace, YCW15) also give you the ability to run a high-performance workstation in the cloud (and soon on any remote machine!). Check it out https://www.paperspace.com Disclaimer: I am the CEO/co-founder
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by DTE 6y ago
The "Society of the Spectacle" is a wonderfully enigmatic take on media and tech. Highly recommended.
12.
by DTE 6y ago
Another really exciting co in this space is Runway ( https://runwayml.com/ ). Primarily focused on ML-enhanced media production workflows.
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by DTE 6y ago
Also worth looking at ReactFlow ( https://reactflow.dev ) if you are looking for this type of tool.
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by DTE 6y ago
We (Paperspace YCW15) have something similar at https://ml-showcase.paperspace.com/ where you can launch and run some popular Jupyter notebooks and run for free :) Disclaimer: I’m the CEO/co-founder
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Hacker News for ML(mln.dev)
2 points by DTE 6y ago|0 comments
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by DTE 6y ago
Just a quick note: Morgan Funtowicz from HuggingFace did an awesome webinar overview of the transformers library here for anyone who is interested https://www.youtube.com/watch?reload=9&v=SUqi_E_Lyjs
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by DTE 6y ago
CEO of Paperspace here. I'm really sorry about this. That is not the experience that we are striving for and FWIW, since leaving beta, Gradient is much more mature at this point (many millions of hours of runtime and lots of developer
18.
by DTE 7y ago
Dillon from Paperspace here. If anyone is interested, this is actually part of a longer multi-part series covering GauGAN in-depth. Here's the link to the full series: https://blog.paperspace.com/tag/series-gaugan&
19.
by DTE 7y ago
We ( https://www.paperspace.com ) have full Linux and Windows desktops with web-based streaming and web-based terminal access. Might be what you are looking for :)
20.
by DTE 7y ago
I respectfully disagree :) I think that the notebook environment is a nice entry-point for lots of applications. We actually use it pretty regularly to launch more sophisticated experiments / multi-node training jobs, etc using our pyt
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by DTE 7y ago
I should also mention you can just as easily run these on CPU-backed instances as well. The GPU is not a hard requirement. As for checkpointing data, that is still a relatively difficult problem to solve and our current recommendation is to
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by DTE 7y ago
Because everything is running in a docker container behind the scenes we support any kernel you would like. We have a handful of pre-built containers and you can also add a custom container very easily or build one off of a base template su
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by DTE 7y ago
The 5GB of persistent data is available for by default for all free accounts running on the free instances. You can easily upgrade your storage up to 1TB by upgrading you subscription within the console. We can also provide up to 4TB by ope
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by DTE 7y ago
Yes, one of the differences in how we handle notebooks is that everything is actually run in a container behind the scenes. This means that is isn't just the .ipynb that we are hosting and if you install and dependencies, libraries, et
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by DTE 7y ago
Hey there ! I'm one of the co-founders of Paperspace. We currently have a couple of options for data ingest (and more coming soon!). The current system provides a single persistent mount that you can access from any notebook/exper
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by DTE 7y ago
Congrats to Aneesh and team! We (Paperspace, YCW15) are big fans and have been following these guys for a while now!
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by DTE 7y ago
Very cool! We (Paperspace) just posted a tutorial on Detecting Pneumonia from X-ray scans using PyTorch for anyone interested in building some more intuitions around this type of Deep Learning: https://blog.paperspace.com/de
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by DTE 8y ago
Congrats, Jeremy and crew!
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CI/CD for Machine Learning(blog.paperspace.com)
3 points by DTE 8y ago|0 comments
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How AI is decommoditizing the chip industry(venturebeat.com)
2 points by DTE 8y ago|0 comments

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