Machine-Learning-Collection
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aladdinpersson
A resource for learning about Machine learning & Deep Learning
Hey Aladin, i think the division should be by the _head_dim_, in the code its using the full embed dimension https://github.com/aladdinpersson/Machine-Learning-Collection/blob/bd4f07f5edb8968cf6129623ec73ba6ba777c964/ML/Pytorch/more_advanced/transformer_from_scratch/transformer_from_scratch.py#L62 You are dividing for square root of 256 and...
Hello, thanks for sharing your work! I have a question on the mAP calculation. Using the same confidence threshold of 0.2 my model somehow can't make it to 75-78%, as...
I modified the ProGAN code as 1d. The code can run, but the generation effect is poor. Can ProGAN be applied to 1d signals
I first designed my own network based on the video and then ran it on Google Colab, however after about 100 epochs the generated images were still very bad. I...
when I want to check the pic with the following code: it gives me the wrong info. and device is "cpu" ` for epoch in range(EPOCHS): for x, y in...
Hi there, you've done a great job in implementing CycleGANs from scratch, which helped me a lot. However, I don't quite understand the way you load checkpoints in utils.py: ```...
z_dim is initialized as 64 in simple GAN code but shows some matrix multiplication error in a first linear layer of the Generator class.
Lightning_simple_nn Trainer.__init__() got an unexpected keyword argument 'auto_lr_find'
C:\Users\hp\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\cuda\amp\grad_scaler.py:118: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling. warnings.warn("torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling.") 0%| | 0/9 [01:03
Hi there, I've really enjoyed following your tutorial on implementing the YOLOv3 algorithm. I've been testing my own YOLOv3 model built from scratch (to work with 1D data inputs and...
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A resource for learning about Machine learning & Deep Learning