pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes. (by Lightning-AI)
ffcv
FFCV: Fast Forward Computer Vision (and other ML workloads!) (by libffcv)
Our great sponsors
| pytorch-lightning | ffcv | |
|---|---|---|
| 8 | 8 | |
| 26,797 | 2,737 | |
| 1.5% | 1.0% | |
| 9.9 | 4.1 | |
| about 15 hours ago | 14 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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 2023-12-08.
- 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!
-
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).
ffcv
Posts with mentions or reviews of ffcv.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-01.
- Question: TIFF image dataset - size in RAM.
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[P] Composer: a new PyTorch library to train models ~2-4x faster with better algorithms
PyTorch Lightning is also very slow compared to Composer. You don't have to believe us: our friends who wrote the FFCV library benchmarked us against PTL (see the lower left plot in the first cluster of graphs) , and you can see the difference for yourself. For the same accuracy, the FFCV folks found that Composer is about 5x faster than PTL on ResNet-50 on ImageNet.
- FFCV: Fast Forward Computer Vision
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Does anyone know where I can find research papers for preprocessing large image datasets?
maybe something like this? https://github.com/libffcv/ffcv
- Ffcv: Train models at a fraction of the cost with accelerated data loading
- Show HN: FFCV – Accelerated machine learning via fast data loading
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[P] FFCV: Accelerated Model Training via Fast Data Loading
Hi! You can join the slack directly from the link on the homepage! (ffcv.io)
What are some alternatives?
When comparing pytorch-lightning and ffcv you can also consider the following projects:
lnd - Lightning Network Daemon ⚡️
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
Eclair - A scala implementation of the Lightning Network.
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
mmdetection - OpenMMLab Detection Toolbox and Benchmark
composer - Supercharge Your Model Training
ffcv-imagenet - Train ImageNet *fast* in 500 lines of code with FFCV
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.
array_storage_benchmark - Compare some methods of array storage in Python (numpy)
Keras - Deep Learning for humans
pillow-simd - The friendly PIL fork
pytorch-lightning vs lnd
ffcv vs pytorch-lightning
pytorch-lightning vs Eclair
ffcv vs best-of-ml-python
pytorch-lightning vs mmdetection
ffcv vs composer
pytorch-lightning vs composer
ffcv vs ffcv-imagenet
pytorch-lightning vs umbrel
ffcv vs array_storage_benchmark
pytorch-lightning vs Keras
ffcv vs pillow-simd