Hoyeong-GenGenAI hotohoto

## donate.md

      
              1 file
            
          
              8 forks
            
          
              1 comment
            
          
              32 stars
            
          
                skratchdot
                / donate.md
            
            
              Created
              January 25, 2016 17:42
            
              
                My Paypal donate button in markdown format
              
          
    Donation Button


## private_fork.md

      
              1 file
            
          
              497 forks
            
          
              79 comments
            
          
              1848 stars
            
          
                0xjac
                / private_fork.md
            
            
              Last active
              July 30, 2024 09:39
            
              
                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:

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


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

  
## labels_1024.tsv
7
2
1
0
4
1
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9
5
9

## numpy-benchmark.py
#!/usr/bin/env python
# -*- coding: UTF-8 -*-

# Roughly based on: http://stackoverflow.com/questions/11443302/compiling-numpy-with-openblas-integration

from __future__ import print_function

import numpy as np
from time import time

## analysis.ipynb

      
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              1 fork
            
          
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              11 stars
            
          
                petermchale
                / analysis.ipynb
            
            
              Last active
              December 2, 2023 15:46
            
              
                A derivation of the bias-variance decomposition of test error in machine learning.
              
          
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## iterm2colorset.itermcolors
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>Ansi 0 Color</key>
	<dict>
		<key>Alpha Component</key>
		<real>1</real>
		<key>Blue Component</key>
		<real>0.0</real>

## extract_images.py
#!/usr/bin/env python

import argparse
import pathlib
import numpy as np
import cv2
from tensorboard.backend.event_processing import event_accumulator


def main():

## callback_fid.py
''' fid code and inception model from https://github.com/mseitzer/pytorch-fid '''

import pytorch_lightning as pl
from pytorch_lightning.utilities import rank_zero_only
from scipy import linalg
from .inception import InceptionV3 # https://github.com/mseitzer/pytorch-fid
import pickle
import torch
import numpy as np
from tqdm import tqdm

## pyproject.toml
# Add this file into the root folder of your project
# Specify dependencies in requirements.txt and install dependencies with `pip install -e .`
# Then, you don't need to specify the `src` directory within PYTHONPATH when you run a python module in your project.
# This is an exeperimental/opinionated setting. So any comments are welcome.
# references:
# - https://stackoverflow.com/a/73600610/1874690
# - https://packaging.python.org/en/latest/guides/writing-pyproject-toml/

[project]
name = "my-project-name"
	#!/usr/bin/env python
	# -- coding: UTF-8 --

	# Roughly based on: http://stackoverflow.com/questions/11443302/compiling-numpy-with-openblas-integration

	from __future__ import print_function

	import numpy as np
	from time import time
	<?xml version="1.0" encoding="UTF-8"?>
	<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
	<plist version="1.0">
	<dict>
	<key>Ansi 0 Color</key>
	<dict>
	<key>Alpha Component</key>
	<real>1</real>
	<key>Blue Component</key>
	<real>0.0</real>
	#!/usr/bin/env python

	import argparse
	import pathlib
	import numpy as np
	import cv2
	from tensorboard.backend.event_processing import event_accumulator


	def main():
	''' fid code and inception model from https://github.com/mseitzer/pytorch-fid '''

	import pytorch_lightning as pl
	from pytorch_lightning.utilities import rank_zero_only
	from scipy import linalg
	from .inception import InceptionV3 # https://github.com/mseitzer/pytorch-fid
	import pickle
	import torch
	import numpy as np
	from tqdm import tqdm
	# Add this file into the root folder of your project
	# Specify dependencies in requirements.txt and install dependencies with `pip install -e .`
	# Then, you don't need to specify the `src` directory within PYTHONPATH when you run a python module in your project.
	# This is an exeperimental/opinionated setting. So any comments are welcome.
	# references:
	# - https://stackoverflow.com/a/73600610/1874690
	# - https://packaging.python.org/en/latest/guides/writing-pyproject-toml/

	[project]
	name = "my-project-name"