Amir Hossein Kargaran kargaranamir

## parallel_t5.py
from transformers import AutoTokenizer, T5ForConditionalGeneration

# Model Init
n_gpu = 8
tokenizer = AutoTokenizer.from_pretrained("google/flan-ul2")
model = T5ForConditionalGeneration.from_pretrained("google/flan-ul2")
heads_per_gpu = len(model.encoder.block) // n_gpu
device_map = {
    gpu: list(
        range(

## script2.html
<body onload="brython()">
    <h1>Get a joke</h1>

    <button id="joke-btn">Get Joke</button>
    <div id="joke" class="card">Click the "get joke" button</div>

    <!-- Ajax call -->
    <script type="text/python" id="script3">
        from browser import document, ajax

## shrink_embeddings.ipynb

      
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              12 stars
            
          
                generall
                / shrink_embeddings.ipynb
            
            
              Created
              April 27, 2019 22:32
            
              
                Shrinking Fasttext embeddings
              
          
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## projected_gradient_descent.py
import torch

def projected_gradient_descent(model, x, y, loss_fn, num_steps, step_size, step_norm, eps, eps_norm,
                               clamp=(0,1), y_target=None):
    """Performs the projected gradient descent attack on a batch of images."""
    x_adv = x.clone().detach().requires_grad_(True).to(x.device)
    targeted = y_target is not None
    num_channels = x.shape[1]

    for i in range(num_steps):

## repo-reset.md

      
              1 file
            
          
              216 forks
            
          
              121 comments
            
          
              763 stars
            
          
                heiswayi
                / repo-reset.md
            
            
              Created
              February 5, 2017 01:32
            
              
                GitHub - Delete commits history with git commands
              
          
    First Method

Deleting the .git folder may cause problems in our git repository. If we want to delete all of our commits history, but keep the code in its current state, try this:
# Check out to a temporary branch:
git checkout --orphan TEMP_BRANCH

# Add all the files:
git add -A


## something2vec.md

      
              1 file
            
          
              86 forks
            
          
              26 comments
            
          
              286 stars
            
          
                nzw0301
                / something2vec.md
            
            
              Last active
              April 10, 2024 14:39
            
          
    *2vec papers


act2vec, trace2vec, log2vec, model2vec https://link.springer.com/chapter/10.1007/978-3-319-98648-7_18
apk2vec https://arxiv.org/abs/1809.05693
app2vec http://paul.rutgers.edu/~qma/research/ma_app2vec.pdf
ast2vec https://arxiv.org/abs/2103.11614
attribute2vec https://arxiv.org/abs/2004.01375
author2vec http://dl.acm.org/citation.cfm?id=2889382
baller2vec https://arxiv.org/abs/2102.03291
bb2vec https://arxiv.org/abs/1809.09621


## GitCommitEmoji.md

      
              1 file
            
          
              729 forks
            
          
              358 comments
            
          
              3580 stars
            
          
                parmentf
                / GitCommitEmoji.md
            
            
              Last active
              April 26, 2024 09:53
            
              
                Git Commit message Emoji
              
          
    Inspired by dannyfritz/commit-message-emoji
See also gitmoji.


Commit type
Emoji


Initial commit
🎉 :tada:


Version tag
🔖 :bookmark:


New feature
✨ :sparkles:


Bugfix
🐛 :bug:


## pl2py.pl
#!perl -w

=head1 NAME

pl2py.pl

=head1 DESCRIPTION

Attempts to convert perl scripts to python with the awesome power of regular expressions.
	from transformers import AutoTokenizer, T5ForConditionalGeneration

	# Model Init
	n_gpu = 8
	tokenizer = AutoTokenizer.from_pretrained("google/flan-ul2")
	model = T5ForConditionalGeneration.from_pretrained("google/flan-ul2")
	heads_per_gpu = len(model.encoder.block) // n_gpu
	device_map = {
	gpu: list(
	range(
	<body onload="brython()">
	<h1>Get a joke</h1>

	<button id="joke-btn">Get Joke</button>
	<div id="joke" class="card">Click the "get joke" button</div>

	<!-- Ajax call -->
	<script type="text/python" id="script3">
	from browser import document, ajax
	import torch

	def projected_gradient_descent(model, x, y, loss_fn, num_steps, step_size, step_norm, eps, eps_norm,
	clamp=(0,1), y_target=None):
	"""Performs the projected gradient descent attack on a batch of images."""
	x_adv = x.clone().detach().requires_grad_(True).to(x.device)
	targeted = y_target is not None
	num_channels = x.shape[1]

	for i in range(num_steps):
Commit type	Emoji
Initial commit	🎉 `:tada:`
Version tag	🔖 `:bookmark:`
New feature	✨ `:sparkles:`
Bugfix	🐛 `:bug:`
	#!perl -w

	=head1 NAME

	pl2py.pl

	=head1 DESCRIPTION

	Attempts to convert perl scripts to python with the awesome power of regular expressions.