BrikerMan

from gensim.models import KeyedVectors

# Load gensim word2vec
w2v_path = '<Gensim File Path>'
w2v = KeyedVectors.load_word2vec_format(w2v_path)

import io

# Vector file, `\t` seperated the vectors and `\n` seperate the words
"""

htoyryla

# git clone from https://github.com/tkarras/progressive_growing_of_gans
# download the snapshot from their Google drive
# use the following code in the same directory to generate random faces
import os
import sys
import time
import glob
import shutil
import operator
import theano

matpalm

#!/usr/bin/env python3

from PIL import Image
import numpy as np
import tensorflow as tf
import tensorflow_hub as hub

# smooth values from point a to point b.
STEPS = 100
pt_a = np.random.normal(size=(512))

mattdesl

<script>
	import delaunay from 'delaunay-triangulate';
	import { Slider, Color } from 'texel/ui';
	
	// This will get passed in with the P5 instance
	export let p5;
	
	// Size of the canvas in pixels
	export let width = 256;
	export let height = 256;

Quasimondo

import os
import pickle
import requests

#download cached token data here:
#https://drive.google.com/file/d/1g_4w_Re5Y0NmcS2Y55WQzESWDeL2dey6/view?usp=sharing
#and put it into the same folder as this file

cachedTokenData = {"maxTokenID":-1,"knownTokenIds":{},"data":[]}
if os.path.exists("cached_token_data.pickle"):

jackrusher

Twitter abuses all media file uploads, each type in its own way. If we want to upload a good looking animation loop from some low-color, high-detail generative art, we have to game their system's mechanisms.

• don't upload a video file, they will re-encode it into absolute 💩

• create a GIF, which they will auto-convert into a video file 😱

• The frames of the GIF will be resized to an even-sized width using an extremely naive algorithm. Your GIF should be an even size (1000, 2000,