| # Requires installation of [GLMakie](https://github.com/JuliaPlots/Makie.jl) | |
| # Include this file as include("eigshow.jl"), then run eigshow() | |
| using GLMakie, LinearAlgebra, Printf | |
| # Toby Driscoll (driscoll@udel.edu), October 2021. Released under Creative Commons CC BY-NC 3.0 license. | |
| # This function is inspired by EIGSHOW.M, which is held in copyright by The MathWorks, Inc and found at: | |
| # Cleve Moler (2021). Cleve_Lab (https://www.mathworks.com/matlabcentral/fileexchange/59085-cleve_lab), MATLAB Central File Exchange. Retrieved October 25, 2021. | |
| """ |
| """ | |
| Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
| BSD License | |
| """ | |
| import numpy as np | |
| # data I/O | |
| data = open('input.txt', 'r').read() # should be simple plain text file | |
| chars = list(set(data)) | |
| data_size, vocab_size = len(data), len(chars) |
No need to click on an a tag to see the equation, just hover on any <a> tag created using \eqref{label} and that's it!
Check https://mauriciopoppe.com/notes/mathematics/calculus/derivative/ for a live demo
| import os | |
| from docutils import nodes | |
| from docutils.parsers.rst import directives | |
| from docutils.parsers.rst.directives.images import Image | |
| def find_image(path, filename): | |
| fname = os.path.join(path, filename) | |
| if os.path.exists(fname + '.pdf'): | |
| return fname + '.pdf' |
| """ | |
| Test if a request is XHR. | |
| """ | |
| import argparse | |
| from flask import Flask, request, jsonify, make_response | |
| app = Flask(__name__) | |
