EfficientNet-PyTorch
MLclf
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| EfficientNet-PyTorch | MLclf | |
|---|---|---|
| 2 | 1 | |
| 7,715 | 24 | |
| - | - | |
| 0.0 | 0.0 | |
| about 2 years ago | about 1 year ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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EfficientNet-PyTorch
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[D] MCDropout and CNNs
I used this with the popular pytorch implementation of EfficientNet. You can see what I'm talking about here https://github.com/lukemelas/EfficientNet-PyTorch/blob/master/efficientnet_pytorch/model.py on line 127. Once you understand this code it is pretty straightforward to modify your forward pass to allow "stochastic depth" during inference.
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[P] Backprop: a library to easily finetune and use state-of-the-art models
I dont see you credit the author of https://github.com/lukemelas/EfficientNet-PyTorch yet you're using his implementation for efficientnet.
MLclf
What are some alternatives?
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
Efficient-AI-Backbones - Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
BIOBSS - A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).
kiri - Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
labelImg - LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
DropoutUncertaintyExps - Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
TensorLayer - Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Swin-Transformer - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
super-gradients - Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.