pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes. (by Lightning-AI)
lnd
Lightning Network Daemon ⚡️ (by lightningnetwork)
| pytorch-lightning | lnd | |
|---|---|---|
| 9 | 250 | |
| 26,883 | 7,487 | |
| 1.0% | 0.7% | |
| 9.9 | 9.9 | |
| 7 days ago | 6 days ago | |
| Python | Go | |
| Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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
Posts with mentions or reviews of pytorch-lightning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-29.
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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).
lnd
Posts with mentions or reviews of lnd.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-12.
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Analyzing Bitcoin Transactions with Lightning Node Insights
Install LND: https://github.com/lightningnetwork/lnd/blob/master/docs/INSTALL.md#install-lnd Install Bitcoin Core: https://github.com/bitcoin/bitcoin/blob/master/doc/build-windows.md#building-with-mingw-w64-cross-tools
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Simulate your first Lightning transaction on the Bitcoin regtest network Part 1 (MacOS)
To be able to follow along, you must have both bitcoind and lnd installed.
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If I connect a personal wallet to my Bitcoin Lightning node, do I have to open a channel?
If you want multiple users, you'll need multiple node instances. LNbits (mentioned by /u/sos755) does not implement this. Rather, it simply abstracts the funds associated with a single node into multiple logical accounts. This means that the node administrator still has underlying control of all funds associated with the node. See this GitHub discussion for a bit more info: https://github.com/lightningnetwork/lnd/issues/2652
- recommendations for a docker container
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I have a dedicated LN seed phrase on a metal seed storage and would like to import it into an LN wallet + would like to have a basic backup of LN data on an encrypted cloud = Which wallet can handle this? Any advice? Note: I don’t want to run an LN node right now.
LND doesn’t use BIP39 mnemonics. https://github.com/lightningnetwork/lnd/blob/master/aezeed/README.md
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Advice/suggestions on running a BTC node (w/ lnd) on a Mac Mini 2018
Both Bitcoin Core and LND have binaries available for macOS, for example. I have not seen an actual guide to set everything up on macOS tho. It's quite similar to Linux honestly.
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How do you default LND to use Taproot and enable RBF (for on-chain transactions)?
As for taproot change addresses, this has been the default behaviour since version 0.15.5. Just update your lnd and you're all set.
- LND Channel Funds
- lnd v0.16.0-beta released! Huge update - bimodal pathfinding, fundpsbt changes, bug fixes, and more!
What are some alternatives?
When comparing pytorch-lightning and lnd you can also consider the following projects:
Eclair - A scala implementation of the Lightning Network.
lightning - c-lightning — a Lightning Network implementation in C
mmdetection - OpenMMLab Detection Toolbox and Benchmark
lightning - Core Lightning — Lightning Network implementation focusing on spec compliance and performance
composer - Supercharge Your Model Training
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.
awesome-lnurl - A curated list of awesome lnurl things.
Keras - Deep Learning for humans
loop - Lightning Loop: A Non-Custodial Off/On Chain Bridge
fastai - The fastai deep learning library
electrum - Electrum Bitcoin Wallet