Eclair
pytorch-lightning
Eclair | pytorch-lightning | |
---|---|---|
21 | 9 | |
1,212 | 26,952 | |
0.2% | 1.3% | |
8.7 | 9.9 | |
4 days ago | 2 days ago | |
Scala | Python | |
Apache License 2.0 | 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.
Eclair
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Serious Question about Bitcoin
eclair, developed by ACINQ.
- Eclair release 0.8.0 imminent
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Question about the fee policy of inbound channels
for eclair it is configured in eclair.conf https://github.com/ACINQ/eclair/blob/master/docs/Configure.md
- Bitcoin falls to fresh 18-month low as crypto meltdown deepens
- Eclair Lightning Setup with Bitcoin Core
- Resumiu bem
- I use electrum and BTC more than ledger and eth
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Electrum Lighting channels keep force closing on me.
Seems to be a known Eclair problem. Which is unfortunate since Eclair is the only implementation with trampoline routing afaik. I'd try reporting it to the Electrum devs.
- Is there a simple Windows Lightning node program to install & connect to my full bitcoin core node?
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Any good lightning wallets to start with?
eclair, developed by ACINQ.
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?
lightning - Core Lightning — Lightning Network implementation focusing on spec compliance and performance
lnd - Lightning Network Daemon ⚡️
phoenix - Phoenix is a self-custodial Bitcoin wallet using Lightning to send/receive payments.
mmdetection - OpenMMLab Detection Toolbox and Benchmark
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.
composer - Supercharge Your Model Training
Scala Native - Your favorite language gets closer to bare metal.
fastai - The fastai deep learning library
electrum - Electrum Bitcoin Wallet
Keras - Deep Learning for humans