Roshan Rao rmrao

## auc_extract.ipynb

      
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                rmrao
                / auc_extract.ipynb
            
            
              Created
              May 8, 2020 21:59
            
              
                Various ways of extracting info from ipynb
              
          
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## saliency.ipynb

      
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                rmrao
                / saliency.ipynb
            
            
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              May 19, 2020 17:16
            
          
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## smithwaterman_torch.py
from typing import Tuple
import torch
import torch.nn.functional as F
import itertools
from timeit import default_timer as timer


class SoftmaxWeightedMean(torch.autograd.Function):

    @staticmethod

## .pymol_functions.py
from pymol import preset, cmd
from glob import glob
from os.path import sep, basename
from pathlib import Path


def bns(sel: str = "bb."):
    preset.ball_and_stick(selection=sel, mode=1)


## countseqs
#!/bin/bash

count_nseqs() {
    file="$1"
    if [ -f "$file" ]; then
        if [[ "$file" == *.gz ]]; then
            count=$(zcat "$file" | grep -c "^>")
        else
            count=$(grep -c "^>" "$file")
        fi
	from typing import Tuple
	import torch
	import torch.nn.functional as F
	import itertools
	from timeit import default_timer as timer


	class SoftmaxWeightedMean(torch.autograd.Function):

	@staticmethod
	from pymol import preset, cmd
	from glob import glob
	from os.path import sep, basename
	from pathlib import Path


	def bns(sel: str = "bb."):
	preset.ball_and_stick(selection=sel, mode=1)
	#!/bin/bash

	count_nseqs() {
	file="$1"
	if [ -f "$file" ]; then
	if [[ "$file" == *.gz ]]; then
	count=$(zcat "$file" \| grep -c "^>")
	else
	count=$(grep -c "^>" "$file")
	fi