nipunbatra

(base) ➜  prog-ml.github.io git:(main) ✗ pip install black[jupyter]
zsh: no matches found: black[jupyter]
(base) ➜  prog-ml.github.io git:(main) ✗ black notebooks/introduction/simpson.ipynb 
Skipping .ipynb files as Jupyter dependencies are not installed.
You can fix this by running ``pip install black[jupyter]``
No Python files are present to be formatted. Nothing to do 😴
(base) ➜  prog-ml.github.io git:(main) ✗ which black
/Users/nipun/miniconda3/bin/black
(base) ➜  prog-ml.github.io git:(main) ✗ pip install 'black[jupyter]'              

jirihnidek

"""
Example of using sub-parser, sub-commands and sub-sub-commands :-)
"""

import argparse


def main(args):
    """
    Just do something

teddziuba

#!/usr/bin/env python3

"""
Mac OSX Catalina User Password Hash Extractor

Extracts a user's password hash as a hashcat-compatible string.

Mac OSX Catalina (10.15) uses a salted SHA-512 PBKDF2 for storing user passwords
(hashcat type 7100), and it's saved in an annoying binary-plist-nested-inside-xml-plist
format, so previously reported methods for extracting the hash don't work.

daxiongshu

daxiongshu

iwatake2222

# -*- coding: utf-8 -*-
import cv2
import tensorflow as tf
import numpy as np

# https://www.tensorflow.org/lite/guide/hosted_models
# http://storage.googleapis.com/download.tensorflow.org/models/tflite/coco_ssd_mobilenet_v1_1.0_quant_2018_06_29.zip


def detect_from_camera():

meyerjo

def bb_intersection_over_union(boxA, boxB):
    # determine the (x, y)-coordinates of the intersection rectangle
    xA = max(boxA[0], boxB[0])
    yA = max(boxA[1], boxB[1])
    xB = min(boxA[2], boxB[2])
    yB = min(boxA[3], boxB[3])

    # compute the area of intersection rectangle
    interArea = abs(max((xB - xA, 0)) * max((yB - yA), 0))
    if interArea == 0:

SHDShim

How to setup helvetica font in matplotlib

Helvetica is the standard font for scientific plots. However, the default for matplotlib is not helvetica. You can use the following tutorial for making the change.

[Update in 2022/11/11]

Just have the following line in the beginning of a notebook will take care of the problem.

%config InlineBackend.figure_format='svg'

danijar

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import numpy as np
import tensorflow as tf


class GRU(tf.contrib.rnn.RNNCell):

electronut

"""
ldr.py

Display analog data from Arduino using Python (matplotlib)

Author: Mahesh Venkitachalam
Website: electronut.in
"""

import sys, serial, argparse