maddy
pytorch-lightning
maddy | pytorch-lightning | |
---|---|---|
30 | 9 | |
4,667 | 26,952 | |
- | 1.3% | |
7.8 | 9.9 | |
15 days ago | 2 days ago | |
Go | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
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.
maddy
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Stalwart mail server (self-hosted all-in-one mail server) now as an admin webui
It's interesting how there is now
* Maddy: https://github.com/foxcpp/maddy
* Mox: https://github.com/mjl-/mox
* and Stalwart
which all see to aim for more or less the same niche. I wonder if we'll see two of those merge eventually.
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Exploring Self-Hosted Email Services
Does anybody run maddy (https://github.com/foxcpp/maddy) in production or for personal matters?
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Solutions for selfhosted internal-only email?
Yeah, that's a bummer. If you need the docs, then its here.
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what to use for self hosting email
I've been using maddy mail server as it's quick and easy to setup for over a year now
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Haters will say it's fake!
Both my home server and VPS have unattended upgrades with email notifications about faliures that override do not disturb on my phone. acme.sh has automatic TLS renewal configured with systemd. Maddy mail server itself runs on Docker that is also set up with systemd to automatically restart and start at reboots. When it comes to updating Maddy i just keep an eye on the release Atom feed and change the docker compose file and restart the container.
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Modern full-featured mail server for low-maintenance self-hosted email
I wonder how does it compare to Maddy mail server: https://github.com/foxcpp/maddy
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Cheapest way to get domain specific emails?
If you want to self hosted, I strongly recomend https://github.com/foxcpp/maddy since it's just a single binary to run.
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merging mbox files from google takeout
If you still want to do it on your own, there is Go simple mail server - maddy where you can borrow some code or simply use it for the purpose as a IMAP server (I mentioned above, but dovecot as IMAP probably would be the best)
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Any library to communicate with email server for managing email accounts in Go?
https://github.com/emersion has great libraries related to emails, for example go-imap. https://github.com/foxcpp/maddy is an email server written in Go that you could look into.
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Recieveing emails with go
Check ready-to-go maddy-SMTP/IMAP server
pytorch-lightning
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SB-1047 will stifle open-source AI and decrease safety
It's very easy to get started, right in your Terminal, no fees! No credit card at all.
And there are cloud providers like https://replicate.com/ and https://lightning.ai/ that will let you use your LLM via an API key just like you did with OpenAI if you need that.
You don't need OpenAI - nobody does.
- 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).
What are some alternatives?
docker-mailserver - Production-ready fullstack but simple mail server (SMTP, IMAP, LDAP, Antispam, Antivirus, etc.) running inside a container.
lnd - Lightning Network Daemon ⚡️
Mailu - Insular email distribution - mail server as Docker images
Eclair - A scala implementation of the Lightning Network.
mailcow
mmdetection - OpenMMLab Detection Toolbox and Benchmark
Roundcube - The Roundcube Webmail suite
composer - Supercharge Your Model Training
Mail-in-a-Box - Mail-in-a-Box helps individuals take back control of their email by defining a one-click, easy-to-deploy SMTP+everything else server: a mail server in a box.
umbrel - A beautiful home server OS for self-hosting with an app store. Buy a pre-built Umbrel Home with umbrelOS, or install on a Raspberry Pi 4, Pi 5, any Ubuntu/Debian system, or a VPS.
Mailcow - mailcow: dockerized - 🐮 + 🐋 = 💕
fastai - The fastai deep learning library