modanesh

import cv2
import imageio
import jax
import os
import urllib
import numpy as np
import jax.numpy as jnp


def resize_and_center_crop(image):

modanesh

import numpy as np
import matplotlib.pyplot as plt 
import bisect
from scipy import stats

rng = np.random.default_rng()
desired_variance = 1
desired_mean = 0
uni_rand = rng.uniform(low=-desired_variance*3, high=desired_variance*3, size=1000)
_ = plt.hist(uni_rand, bins='auto')

modanesh

import math
import random
import matplotlib.pyplot as plt

uni_rand_1 = []
uni_rand_2 = []
gauss_samples_1 = []
gauss_samples_2 = []
for i in range(1000):
    random_1 = random.random()