David T dcstang

## Script for conversion of folder contents to webp
#!/bin/bash
# using google's cwebp
# https://developers.google.com/speed/webp/docs/cwebp
# -q for quality setting from 0 to 100

# converting JPEG images
find $1 -type f -and \( -iname "*.jpg" -o -iname "*.jpeg" \) \
-exec bash -c '
webp_path=$(sed 's/\.[^.]*$/.webp/' <<< "$0");
if [ ! -f "$webp_path" ]; then

## environment.yml
name: tensorflow_env_388

channels:
  - conda-forge
  - defaults

dependencies:
  - python=3.8.8
  - pip=21.0.1
  - numpy=1.19

## embeddings_projector.md

      
        
          
            
              
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                dcstang
                / embeddings_projector.md
            
            
              Last active
              April 25, 2021 07:50
            
              
                Medical Text Embeddings Projector
              
          
        
      
        
  
      
    Tensorboard loading of Word Embeddings

Download the vector and metadata: https://github.com/dcstang/readmissionBERT/tree/main/Models/Embeddings
Open projection here: http://projector.tensorflow.org/
Load vectors.tsv and metadata.tsv into projector
	#!/bin/bash
	# using google's cwebp
	# https://developers.google.com/speed/webp/docs/cwebp
	# -q for quality setting from 0 to 100

	# converting JPEG images
	find $1 -type f -and \( -iname ".jpg" -o -iname ".jpeg" \) \
	-exec bash -c '
	webp_path=$(sed 's/\.[^.]*$/.webp/' <<< "$0");
	if [ ! -f "$webp_path" ]; then
	name: tensorflow_env_388

	channels:
	- conda-forge
	- defaults

	dependencies:
	- python=3.8.8
	- pip=21.0.1
	- numpy=1.19