thygrrr

# SPDX-License-Identifier: Unlicense or CC0
extends Node2D

# Smooth panning and precise zooming for Camera2D
# Usage: This script may be placed on a child node
# of a Camera2D or on a Camera2D itself.
# Suggestion: Change and/or set up the three Input Actions,
# otherwise the mouse will fall back to hard-wired mouse
# buttons and you will miss out on alternative bindings,
# deadzones, and other nice things from the project InputMap.

karpathy

"""
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

nigeljyng

class AttentionWithContext(Layer):
    """
    Attention operation, with a context/query vector, for temporal data.
    Supports Masking.
    Follows the work of Yang et al. [https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf]
    "Hierarchical Attention Networks for Document Classification"
    by using a context vector to assist the attention
    # Input shape
        3D tensor with shape: `(samples, steps, features)`.
    # Output shape

kastnerkyle

# Stacked LSTMs
# Author: Kyle Kastner
# Based on script from /u/siblbombs
# License: BSD 3-Clause
import tensorflow as tf
from tensorflow.models.rnn import rnn
from tensorflow.models.rnn.rnn_cell import LSTMCell
import numpy as np
import time

rduplain

"Serve a Flask app on a sub-url during localhost development."

from flask import Flask


APPLICATION_ROOT = '/spam'


app = Flask(__name__)
app.config.from_object(__name__)