lightning
pytorch-image-models
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lightning | pytorch-image-models | |
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50 | 35 | |
2,754 | 29,659 | |
0.9% | 2.6% | |
9.9 | 9.4 | |
6 days ago | 12 days ago | |
C | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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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.
lightning
- Opening channel from external wallet in Core Lightning
- Obtain gossip messages without node
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Craig falsely insists that the Lightning Network is infringing on nChain's patents for a CBDC
Wait until they realize Craig Wright's Cryptographic Proof was there all along.
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Lightning node on a pruned bitcoind
https://github.com/ElementsProject/lightning/issues/5310.
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Serious Question about Bitcoin
c-lightning, developed by [Blockstream]
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Run a node
LND - https://github.com/lightningnetwork/lnd CLN - https://github.com/ElementsProject/lightning
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š MiniBolt resources š List of the MiniBolt core/bonus guides + latest versions
Core Lightning (CLN) v.22.11 (Released 30th November 2022) - https://github.com/ElementsProject/lightning/releases
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Can't open channels on my Linux VM Core Lightning implementation
I opened an issue on the Core Lightning repo. It has a complete list of the logs that were happening that caused the peer to drain and disconnect https://github.com/ElementsProject/lightning/issues/5816
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How to use the lightning network without apps.
A country can't stop you from running lnd or Core Lightning, so I'm not sure what you're talking about?
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ā” RaspiBolt Improvement Proposals (RBIPs) & Bounties š°
Power cuts can lead to node corruption (e.g. here)
pytorch-image-models
- FLaNK AI Weekly 18 March 2024
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[D] Hugging face and Timm
I am a PyTorch user I work in CV, I usually use the PyTorch models. However, I see people use timm in research papers to train their models I don't understand what it is timm is it a new framework like PyTorch? Further, when I click https://pypi.org/project/timm/ homepage it takes me to hugging face GitHub https://github.com/huggingface/pytorch-image-models is there any connection between timm and hugging face many of my friends use hugging face but I also don't know about hugging face I use simple PyTorch and torchvision.models.
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FLaNK Stack Weekly for 07August2023
https://github.com/huggingface/pytorch-image-models https://huggingface.co/docs/timm/index
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[R] Nvidia RTX 4090 ML benchmarks. Under QEMU/KVM. Image + Transformers. FP16/FP32.
pytorch-image-models
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Inference on resent, cant work out the problem?
additionally, you might find the timm library handy for this sort of work.
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Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows
This is still being pursued. Ross Wightmann's timm[0,1] package (now on Hugging Face) has done a lot of this. There's also a V2 of ConvNext[2]. Ross does write about this a lot on Twitter fwiw. I should also mention that there are still many transformer based networks that still beat convs. So there probably won't be a resurgence in convs until someone can show that there's a really strong reason for them. They have some advantages but they also might not be flexible enough for the long range tasks in segmentation and detection. But maybe they are.
FAIR definitely did great work with ConvNext, and I do hope to see more. There always needs to be people pushing unpopular paradigms.
[0] https://github.com/huggingface/pytorch-image-models
[1] https://arxiv.org/abs/2110.00476
[2] https://arxiv.org/abs/2301.00808
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Problems with Learning Rate Finder in Pytorch Lightning
I am doing Binary classification with a pre-trained EfficientNet tf_efficientnet_l2. I froze all weights during training and replaced the classifier with a custom trainable one that looks like:
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PyTorch at the Edge: Deploying Over 964 TIMM Models on Android with TorchScript and Flutter
In this post, Iām going to show you how you can pick from over 900+ SOTA models on TIMM, train them using best practices with Fastai, and deploy them on Android using Flutter.
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ImageNet Advise
The other thing is, try to find tricks to speed up your experiments (if not having done so already). The most obvious are mixed precision training, have your model train on a lower resolution input first and then increase the resolution later in the training, stochastic depth, and a bunch more stuffs. Look for implementations in https://github.com/rwightman/pytorch-image-models .
- Doubt about transformers
What are some alternatives?
lnd - Lightning Network Daemon ā”ļø
yolov5 - YOLOv5 š in PyTorch > ONNX > CoreML > TFLite
Eclair - A scala implementation of the Lightning Network.
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.
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
zeus - A mobile Bitcoin wallet fit for the gods. ā”ļø Est. 563345
mmcv - OpenMMLab Computer Vision Foundation
RTL - Ride The Lightning - A full function web browser app for LND, C-Lightning and Eclair
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
raspiblitz - Get your own Bitcoin & Lightning Node running - on a RaspberryPi with a nice LCD
yolact - A simple, fully convolutional model for real-time instance segmentation.