GaelVaroquaux

'''
Non-parametric computation of entropy and mutual-information

Adapted by G Varoquaux for code created by R Brette, itself
from several papers (see in the code).

This code is maintained at https://github.com/mutualinfo/mutual_info 
Please download the latest code there, to have improvements and 
bug fixes.

emuccino

import numpy as np
from numpy.random import choice, normal
np.random.seed(8)
from tensorflow import set_random_seed
set_random_seed(8)

from tensorflow.python.keras.layers import Input, BatchNormalization,Conv2D, MaxPooling2D
from tensorflow.python.keras.layers import Dropout, Reshape
from tensorflow.python.keras.layers import Dense, Flatten
from tensorflow.python.keras.models import Model

isentropic

import tensorflow as tf
@tf.function
def get2dHistogram(x, y,
                   value_range,
                   nbins=100,
                   dtype=tf.dtypes.int32):
    """
    Bins x, y coordinates of points onto simple square 2d histogram
    
    Given the tensor x and y:

akhileshravi