pytorch-lightning
umbrel
Our great sponsors
pytorch-lightning | umbrel | |
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8 | 404 | |
26,883 | 6,370 | |
2.0% | 12.8% | |
9.9 | 9.9 | |
4 days ago | 5 days ago | |
Python | TypeScript | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pytorch-lightning
- Lightning AI Studios – A persistent GPU cloud environment
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Como empezar con inteligencia artificial?
https://see.stanford.edu/Course/CS229 https://lightning.ai/ https://www.youtube.com/watch?v=00s9ireCnCw&t=57s https://towardsdatascience.com/
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Best practice for saving logits/activation values of model in PyTorch Lightning
I've been wondering on what is the recommended method of saving logits/activations using PyTorch Lightning. I've looked at Callbacks, Loggers and ModelHooks but none of the use-cases seem to be for this kind of activity (even if I were to create my own custom variants of each utility). The ModelCheckpoint Callback in its utility makes me feel like custom Callbacks would be the way to go but I'm not quite sure. This closed GitHub issue does address my issue to some extent.
- New to ML, which is easier to learn - Tensorflow or PyTorch?
- PyTorch Lightning – DL framework to train, deploy, and ship AI fast
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We just release a complete open-source solution for accelerating Stable Diffusion pretraining and fine-tuning!
Our codebase for the diffusion models builds heavily on OpenAI's ADM codebase , lucidrains, Stable Diffusion, Lightning and Hugging Face. Thanks for open-sourcing!
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An elegant and strong PyTorch Trainer
For lightweight use, pytorch-lightning is too heavy, and its source code will be very difficult for beginners to read, at least for me.
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[D] Mixed Precision Training: Difference between BF16 and FP16
For the A100 GPU, theoretical performance is the same for FP16/BF16 and both rely on the same number of bits, meaning memory should be the same. However since it's quite newly added to PyTorch, performance seems to still be dependent on underlying operators used (pytorch lightning debugging in progress here).
umbrel
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Escaping Surveillance Capitalism, at Scale
I really thought this article was going to offer a solution, not just enumerate the problems. I'm already all too familiar with the problems.
I like what Umbrel[0] is doing. They're essentially expecting that just like computing was able to move from centralized mainframes to homes, servers are poised to make the same migration.
I think they really need to solve redundancy, though. If I'm to self-host anything important on a home server, I need to know I'll have some way to use it even if my home server fails, especially if I'm not at home when it happens.
I'd love to see some kind of system where I could partner up with other Umbrel users for backups/the ability to restore connectivity. If I knew that in an emergency, I could call my friend in town or my brother out of state and there was some procedure that would allow me to connect to an encrypted backup of what I'm needing, I would feel a lot better about taking responsibility for my own system.
[0] https://umbrel.com
- Tech Independence
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Running a full node. Now what?
I did my node via umbrel super easy to setup ;) https://umbrel.com
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Questions and concerns about Umbrel node
It's also not secure according to the repo here: https://github.com/getumbrel/umbrel/blob/master/SECURITY.md
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I've opened my first LN Channel
For those interested in setting up a their own lightning node, check out Raspibolt, Umbrel, Plebnet .
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Full node first timer
There are a few raspberry pi solutions, including: - https://umbrel.com
- Self-hosted photo and video backup solution directly from your mobile phone
- Bitcoin core wallet
- Personal server OS for self-hosting
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Synchronizing Bitcoin Node 🚀
I did it with the instructions/tutorial from https://umbrel.com/
What are some alternatives?
lnd - Lightning Network Daemon ⚡️
CasaOS - CasaOS - A simple, easy-to-use, elegant open-source Personal Cloud system.
Eclair - A scala implementation of the Lightning Network.
raspiblitz - Get your own Bitcoin & Lightning Node running - on a RaspberryPi with a nice LCD
mmdetection - OpenMMLab Detection Toolbox and Benchmark
start-os - Open source Linux distro optimized for self-hosting
composer - Supercharge Your Model Training
yunohost - YunoHost is an operating system aiming to simplify as much as possible the administration of a server. This repository corresponds to the core code, written mostly in Python and Bash.
Keras - Deep Learning for humans
Bitcoin - Bitcoin Core integration/staging tree
fastai - The fastai deep learning library
bitcoincore.org - Bitcoin Core project website