flyde
pytorch-image-models
flyde | pytorch-image-models | |
---|---|---|
4 | 35 | |
1,748 | 29,903 | |
17.4% | 1.7% | |
9.2 | 9.4 | |
24 days ago | 3 days ago | |
TypeScript | 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.
flyde
- FLaNK AI Weekly 18 March 2024
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Show HN: Flyde – an open-source visual programming language
Yes! As a big fan of functional-reactive programming, it was important to me that Flyde builds on that foundation, and doesn't fall into more imperative paradigms.
With that being said, Flyde does offer an easy way for node authors to set local and global state, but in a functional way - you can pass your own map as the global state, and do whatever you want with it. It's not properly documented yet, but here's the code - https://github.com/flydelabs/flyde/blob/main/core/src/execut...
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Build a Discord Bot Using Visual Programming in VSCode With Flyde
Run the following command:git clone https://github.com/FlydeHQ/flyde-discord-bot-boilerplate.git
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, I’m 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?
unit - Next Generation Visual Programming System
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Visual Studio Code - Visual Studio Code
mmdetection - OpenMMLab Detection Toolbox and Benchmark
vetur - Vue tooling for VS Code.
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
customdiscordrpc - Customizable Discord Rich Presence Client for Windows.
mmcv - OpenMMLab Computer Vision Foundation
flyde-discord-bot-boilerplate - Foundations for visually building discord bots using Flyde
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
Rete.js - Rete.js is a framework for creating visual interfaces and workflows. It provides out-of-the-box solutions for visualization using various libraries and frameworks, as well as solutions for processing graphs based on dataflow and control flow approaches.
yolact - A simple, fully convolutional model for real-time instance segmentation.