ialhashim

import tensorflow as tf
import keras.backend as K
from keras.layers import Lambda

#
# Keras + TensorFlow
# Resize 'tensorA' to be of the same size as 'tensorB' using 'tf.image.resize_bilinear'
# Very useful for skip-connections and 'Concatenate' layers that might complain about being off by one column
# Only works when dimensions are provided since we use ' K.int_shape' that returns the static shape
#

dreizehnutters

"""
what:
    download all sketches (as .zip) from a given user on p5.js
how:
    python <TARGET> [<OUT_DIR>]
who:
    @13utters
"""
from sys import argv, exit
from pathlib import Path

beesandbombs

int[][] result;
float t, c;

float ease(float p) {
  return 3*p*p - 2*p*p*p;
}

float ease(float p, float g) {
  if (p < 0.5) 
    return 0.5 * pow(2*p, g);

nsbalbi

// Processing Code By Nicholas Sbalbi (@nsbalbi)
// Twitter post: https://twitter.com/nsbalbi/status/1406696979523047437
// Github gist: https://gist.github.com/nsbalbi/7c09f0101f90c45ecc391e7f64b29c10
// 6-22-2021
// Motion blur via @beesandbombs and inspiration from @etiennejcb

/* 
Copyright (c) 2021 Nicholas Sbalbi

Permission is hereby granted, free of charge, to any person obtaining a copy

postspectacular

PostSpectacular Manifesto

Literacy

• Learn by doing
  • Take away a sound understanding of new concepts learned at the end of each activity
  • Transform knowledge into intuition
  • Share your learnings
  • Experiment to avoid/overcome procrastination
• Go further, Carpe noctem