Michael E. Palmer

if gunplot is not installed, you get a cryptic error message

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First of all, thanks for the awesome library PyGnuplot! I got a cryptic error message upon starting python (2.7) and trying to "import PyGnuplot": $ python Python 2.7.13 (default, Aug...

Get this error in XCode 11.5: Enumeration value 'kCGColorSpaceModelXYZ' not handled in switch You can fix it by adding the missing case at line 936 in UIColor+Chameleon.m as follows: case...

found 3 dead links - here are working links

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I found 3 dead links when running fetch_papers.py. Here are working links for those 3 papers: 3D convolutional neural networks for human action recognition https://pdfs.semanticscholar.org/3c86/dfdbdf37060d5adcff6c4d7d453ea5a8b08f.pdf End-to-end training of deep visuomotor...

TypeError: can only concatenate list (not "MultiValue") to list

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If anyone is using pydicom=1.0.2 instead of the older pydicom=0.9.9, you will get an exception during the preprocessing step: `TypeError: can only concatenate list (not "MultiValue") to list ` The...

Thanks for your detailed analysis! However you might warn people about the following: Unlike a Password item, the "name" of a Secure Note item is not safe. For Secure Notes,...

BUG: Jensen shannon returns NaN (takes sqrt of small negative number)

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### Describe your issue. For some cherry-picked pairs of distributions that are near one another, jensenshannon returns "nan". The cause is that the code takes the sqrt of a small...

Readme section 5.2

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The README outlines installation and a tutorial for use. Section 5 says: `Visualiazation of DNABERT consists of 2 steps. Calcualate attention scores and Plot.` However section 5.2 seems to be...

Can you use the pre-trained BERT models, but add novel tokens to the vocabulary during fine-tuning? Any tips on what's needed for this? Or during fine-tuning MUST you use the...

This is not really an "issue", but for anyone who wants to compare DNABERT to the original transformers code, it appears (from analyzing diffs to find the minimum number of...

from tensorflow.keras.applications import VGG16 model = VGG16(include_top=True, weights="imagenet", input_tensor=None, input_shape=None, pooling=None, classes=1000, classifier_activation="softmax") from model_profiler import model_profiler Batch_size = 128 profile = model_profiler(model, Batch_size) print(profile) --------------------------------------------------------------------------- ValueError Traceback (most recent...