parkanaur

import os
import glob
from pathlib import Path

import ffmpeg

DEFAULT_FPS = 30
DEFAULT_SMART_DURATION_LIMIT = "2.9"
DEFAULT_SPEED_ADJUST_MODE = "smart"
DEFAULT_FALLBACK_PTS = "1.0"

bsless

#!/usr/bin/env bash

USERNAME="$1"
PASS="$2"

for f in  *.ovpn 
do    
        name=`basename -s .ovpn $f`;
        nmcli connection import type openvpn file $f
        nmcli connection modify "${name}" +vpn.data connection-type=password-tls

LukeZGD

Downgrade and dualboot status of almost all iOS devices

UPDATED: 2024-04-09

• Reddit mirror: https://www.reddit.com/r/iOSDowngrade/comments/j1x7iv/downgrade_and_dualboot_status_of_almost_all_ios/
• GitHub Gist mirror: https://gist.github.com/LukeZGD/9d781f1b03a69fa46869384a9407a41a
• As of updating this post, there is a downgrade tool that utilizes a SEP exploit released. However its device support is currently limited: https://limefix.tech/?product=limefix-sep-utility-testing
• Save SHSH blobs for signed iOS versions using TSS Saver or blobsaver
• GitHub repo for futurerestore nightly: https://github.com/futurerestore/futurerestore
• Delay OTA Guide (updating only): https://ios.cfw.guide/updating-blobless

bogdan-kulynych

# WARNING: These steps seem to not work anymore!

#!/bin/bash

# Purge existign CUDA first
sudo apt --purge remove "cublas*" "cuda*"
sudo apt --purge remove "nvidia*"

# Install CUDA Toolkit 10
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb

szeryf

W = 500
H = 585
W1 = W - 1
H1 = H - 1

def setup
  @img = load_image '../scratch/girl.png'
  @img.filter BLUR, 3
  @img.load_pixels
end

renexu

import threading

from keras.applications.inception_v3 import InceptionV3
from keras.optimizers import Adam
from keras.utils.io_utils import HDF5Matrix


class threadsafe_iter:
    """Takes an iterator/generator and makes it thread-safe by
    serializing call to the `next` method of given iterator/generator.

cwyang

%matplotlib inline
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation
from keras.optimizers import Adam
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

#Generate data
num_data=10000

shaypal5

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

def print_confusion_matrix(confusion_matrix, class_names, figsize = (10,7), fontsize=14):
    """Prints a confusion matrix, as returned by sklearn.metrics.confusion_matrix, as a heatmap.
    
    Note that due to returning the created figure object, when this funciton is called in a
    notebook the figure willl be printed twice. To prevent this, either append ; to your
    function call, or modify the function by commenting out the return expression.

mcnees

%%-----------------------------------------------------------------------
%% Make your own quadrille, graph, hex, etc paper!
%% Uses the pgf/TikZ package for LaTeX, which should be part of
%% any modern TeX installation.
%% Email: mcnees@gmail.com 
%% Twitter: @mcnees
%%-----------------------------------------------------------------------

\documentclass[11pt]{article}

graymouser

/* 
After purchasing a humble book bundle, go to your download page for that bundle. 
Open a console window for the page and paste in the below javascript
*/ 
$('a').each(function(i){
   if ($.trim($(this).text()) == 'MOBI') {
      $('body').append('<iframe id="dl_iframe_'+i+'" style="display:none;">');
      document.getElementById('dl_iframe_'+i).src = $(this).data('web');
   }
});