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@JeffPaine
JeffPaine / beautiful_idiomatic_python.md
Last active January 24, 2026 10:23
Moved to: https://github.com/JeffPaine/beautiful_idiomatic_python

Moved

Now located at https://github.com/JeffPaine/beautiful_idiomatic_python.

Why it was moved

Github gists don't support Pull Requests or any notifications, which made it impossible for me to maintain this (surprisingly popular) gist with fixes, respond to comments and so on. In the interest of maintaining the quality of this resource for others, I've moved it to a proper repo. Cheers!

@chpatrick
chpatrick / Python PFM <-> Numpy library
Created February 11, 2014 14:23
import numpy as np
import re
import sys
'''
Load a PFM file into a Numpy array. Note that it will have
a shape of H x W, not W x H. Returns a tuple containing the
loaded image and the scale factor from the file.
'''
def load_pfm(file):
@protrolium
protrolium / ffmpeg.md
Last active April 13, 2026 00:32
ffmpeg guide

ffmpeg

Converting Audio into Different Formats / Sample Rates

Minimal example: transcode from MP3 to WMA:
ffmpeg -i input.mp3 output.wma

You can get the list of supported formats with:
ffmpeg -formats

You can get the list of installed codecs with:

@victor-torres
victor-torres / uninstall_shell_integration.sh
Created March 1, 2016 12:51
Uninstalling shell integration from iTerm 2
#!/bin/bash
function die() {
echo "${1}"
exit 1
}
which printf > /dev/null 2>&1 || die "Shell integration requires the printf binary to be in your path."
which sed > /dev/null 2>&1 || die "Shell integration requires the sed binary to be in your path."
@yrevar
yrevar / imagenet1000_clsidx_to_labels.txt
Last active April 21, 2026 22:40
text: imagenet 1000 class idx to human readable labels (Fox, E., & Guestrin, C. (n.d.). Coursera Machine Learning Specialization.)
{0: 'tench, Tinca tinca',
1: 'goldfish, Carassius auratus',
2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
3: 'tiger shark, Galeocerdo cuvieri',
4: 'hammerhead, hammerhead shark',
5: 'electric ray, crampfish, numbfish, torpedo',
6: 'stingray',
7: 'cock',
8: 'hen',
9: 'ostrich, Struthio camelus',
@0xjac
0xjac / private_fork.md
Last active May 14, 2026 01:06
Create a private fork of a public repository

The repository for the assignment is public and Github does not allow the creation of private forks for public repositories.

The correct way of creating a private frok by duplicating the repo is documented here.

For this assignment the commands are:

  1. Create a bare clone of the repository. (This is temporary and will be removed so just do it wherever.) 
    

    2. 



git clone --bare git@github.com:usi-systems/easytrace.git



  


  





    


          
    

      

        
        

          

              @kevinzakka
          

          

            
                kevinzakka
                / data_loader.py
            
            

              Last active
              August 6, 2025 12:37
            

              
                Train, Validation and Test Split for torchvision Datasets
              
          

        

      

        


      

    
    


        



  


  

        

          
          """
        

        

          
          Create train, valid, test iterators for CIFAR-10 [1].
        

        

          
          Easily extended to MNIST, CIFAR-100 and Imagenet.
        

        

          
          

        

        

          
          [1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4
        

        

          
          """
        

        

          
          

        

        

          
          import torch
        

        

          
          import numpy as np
        

  





    


  





    


          
    

      

        
        

          

              @MInner
          

          

            
                MInner
                / gpu_profile.py
            
            

              Created
              September 12, 2017 16:11
            

              
                A script to generate per-line GPU memory usage trace. For more meaningful results set `CUDA_LAUNCH_BLOCKING=1`.
              
          

        

      

        


      

    
    


        



  


  

        

          
          import datetime
        

        

          
          import linecache
        

        

          
          import os
        

        

          
          

        

        

          
          import pynvml3
        

        

          
          import torch
        

        

          
          

        

        

          
          print_tensor_sizes = True
        

        

          
          last_tensor_sizes = set()
        

        

          
          gpu_profile_fn = f'{datetime.datetime.now():%d-%b-%y-%H:%M:%S}-gpu_mem_prof.txt'
        

  





    


  





    


          
    

      

        
        

          

              @BIGBALLON
          

          

            
                BIGBALLON
                / extract_ILSVRC.sh
            
            

              Created
              May 13, 2018 20:09
            

              
                script for ImageNet data extract.
              
          

        

      

        


      

    
    


        



  


  

        

          
          #!/bin/bash
        

        

          
          #
        

        

          
          # script to extract ImageNet dataset
        

        

          
          # ILSVRC2012_img_train.tar (about 138 GB)
        

        

          
          # ILSVRC2012_img_val.tar (about 6.3 GB)
        

        

          
          # make sure ILSVRC2012_img_train.tar & ILSVRC2012_img_val.tar in your current directory
        

        

          
          #
        

        

          
          #  https://github.com/facebook/fb.resnet.torch/blob/master/INSTALL.md
        

        

          
          # 
        

        

          
          #  train/
        

  





    


  





    


          
    

      

        
        

          

              @stephenyan1231
          

          

            
                stephenyan1231
                / autoaug_video.py
            
            

              Created
              February 21, 2021 20:42
            

              
                deeplearning/projects/classy_vision/fb/dataset/transforms/autoaug_video.py
              
          

        

      

        


      

    
    


        



  


  

        

          
          #!/usr/bin/env python3
        

        

          
          # (c) Facebook, Inc. and its affiliates. Confidential and proprietary.
        

        

          
          

        

        

          
          # Copied from D25942231, D22269078 but MODIFIED FOR VIDEO,
        

        

          
          # and referred D24414029
        

        

          
          

        

        

          
          """ Auto Augment
        

        

          
          Implementation adapted from:
        

        

          
              https://github.com/tensorflow/tpu/blob/master/models/official/efficientnet/autoaugment.py
        

        

          
          Papers: https://arxiv.org/abs/1805.09501 and https://arxiv.org/abs/1906.11172