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1)To train PyTorch tutorial classification pytorch_tutorial_classification.ipynb
2)To replace torchvision.datasets.CIFAR10 on your own dataset and train:
a) car
b) truck
c) tank
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Experiment with an architecture with a model for video classification as an encoder.
Available pre-trained models are available here: https://pytorch.org/vision/master/models.html#video-classificat…
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First of all, fantastic work on this package!
As far as I can tell, the current implementation primarily focuses on instance segmentation but does not support multi-class prediction for detected nu…
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Hello,
Do you plan to design classification models 3D based on pytorch?
Thank you!
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Issue collecting design discussion related to the boundary between `sktime` and `pytorch-forecasting`, with a particular focus on foundation models and weight management, also see `sktime` issue https…
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The multi-class model coded in section 93 does a surprisingly good job even without any training, and even better without `nn.ReLU`. No matter the seed used for initialization, at epoch 0, the test ac…
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Thanks to the authors' work. I can not find the uncertainty minimal query selection module in the pytorch code.
It uses a classification score to select tokens, as shown in https://github.com/lyuwen…
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previously discussed here https://github.com/sktime/sktime/issues/6641. This issue is a small part of the large design proposal presented there.
currently all the network files belonging to forecas…
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https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/resnet50v1.5
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### 🐛 Describe the bug
After installing pyg (with pip) I ran the tests and got a lot of errors, all from the module
test/explain/algorithmtest_graphic_explainer.py
running pytest
```
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