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Pretty print tables summarizing properties of tensor arrays in numpy, pytorch, jax, etc. | |
Now on pip! `pip install arrgh` https://github.com/nmwsharp/arrgh |
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""" | |
stable diffusion dreaming | |
creates hypnotic moving videos by smoothly walking randomly through the sample space | |
example way to run this script: | |
$ python stablediffusionwalk.py --prompt "blueberry spaghetti" --name blueberry | |
to stitch together the images, e.g.: | |
$ ffmpeg -r 10 -f image2 -s 512x512 -i blueberry/frame%06d.jpg -vcodec libx264 -crf 10 -pix_fmt yuv420p blueberry.mp4 |
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import requests | |
import json | |
import pandas as pd | |
def airtable_download(table, params_dict={}, api_key=None, base_id=None, record_id=None): | |
"""Makes a request to Airtable for all records from a single table. | |
Returns data in dictionary format. | |
Keyword Arguments: |
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""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
import numpy as np | |
import cPickle as pickle | |
import gym | |
# hyperparameters | |
H = 200 # number of hidden layer neurons | |
batch_size = 10 # every how many episodes to do a param update? | |
learning_rate = 1e-4 | |
gamma = 0.99 # discount factor for reward |