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Thanks for the amazing work! I'm using tiny-cuda-nn in both python and CUDA way. The issue I met is that I cant find a way to save the model parameters trained by the pytorch extension and load them i…
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Hi! you guys have done some great work. While trying to take inference on deepfake videos I have created along with the original videos, the demo model always predicts all videos as fake and gives fra…
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hi vikrant
how did you achieved MAP=42 after two epoch?
i trained mobilenet V2 + ssdlite, but almost after 20 epoch i got MAP=30.
i started with lr=0.002 and schedulate it with Cosine. also, i used…
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# Description
lambeq provides a large number of models and trainers, covering a broad range of [use cases](https://cqcl.github.io/lambeq/use-cases.html), both quantum and "classical", where the lat…
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Hello, would you please provide the weights of the pre-trained models?
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I'm confused that which pre-trained weights file should I use when train a customized dataset, yolov3.weights or darknet.53.conv.74?
Can darknet53.conv.74 act as weights file in training customized b…
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I trained 3 models, but after averaging the weights, the model output is garbled!
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Hello, thank you for the great work and release of trained model weights.
I have managed to run the evaluation script for the wood model and get around 0.95 Image AUROC and 0.92 pixel AUROC, simila…
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Hello, professor, thank you very much for the code you provided. I have a question. I followed the readme for everything, but when I run python main.py --test --previous_dir 'checkpoint/pretrained/351…
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Thank you for sharing your code.
I'm interested in your work ang trying to replicate your CIFAR10 results.
However I have two issues.
1. I only got 61% when I run TrainCifar10_S.py without loadi…