nicknytko

import numpy as np
import numpy.linalg as la
import plotly.graph_objects as go

def loss(x):
    # put your loss function here
    return x@x

def plot_loss_landscape(loss, directions, steps, res=25, scale=None):
    assert(directions.shape[0] == 2)

nicknytko

import plotly.graph_objects as go
import torch
import torch.autograd.functional as autofun
import numpy as np

def loss(x):
    return ...

def plot_loss_landscape(loss, directions, steps, res=25, scale=None):
    assert(directions.shape[0] == 2)

nicknytko

nicknytko

# https://gist.github.com/nicknytko/1dd749e5e3e3620ec0cc0aa8f2b70779

import numpy as np
import pygraphviz
import IPython.display as ipd

def _render_graph(graph, layout='dot'):
    class TempFile:
        def __init__(self):
            self.data = b''

nicknytko

#include <iostream>

class OneTwoSixMonsters {
private:
    int x, y, z;

public:
    /* Declare these friend operator overloads.  They are function that are not part of the class,
       but we declare them to be friends so that they can access private variables/methods */
    

nicknytko

function love.load()
	 love.graphics.setBackgroundColor( 255, 255, 255 )

	 gridSize = 32
	 gridWidth = math.floor( love.window.getWidth( ) / gridSize )
	 gridHeight = math.floor( love.window.getHeight( ) / gridSize )

	 grid = { }

	 for x=0, gridWidth do