DuaneNielsen

import pymunk
import pygame
import random
import sys
from pymunk.pygame_util import DrawOptions

width = 600
height = 600

DuaneNielsen

import torch
import torch.nn as nn
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
import itertools
import string

"""
Since character embeddings are a bit weak in pytorch 3, this will hopefully help out
I think these should be trainable and also, invertable!

DuaneNielsen

dependencies

virtualenv

http://virtualenvwrapper.readthedocs.io/en/latest/command_ref.html

sudo pip install vitualenvwrapper

in .bash_profile add (or create)

DuaneNielsen

from typing import Optional

import torch
from torch import tensor
from tensordict import TensorDict
from torchrl.data import CompositeSpec, BoundedTensorSpec, UnboundedContinuousTensorSpec, UnboundedDiscreteTensorSpec, DiscreteTensorSpec, \
    UnboundedContinuousTensorSpec
from torchrl.envs import (
    EnvBase,
    Transform,

DuaneNielsen

import torch
from torch import tensor
from torch.distributions.multivariate_normal import MultivariateNormal
import matplotlib.pyplot as plt
from matplotlib.patches import Ellipse
import matplotlib.patches as mpatches
from math import acos, degrees
from matplotlib.pyplot import cm

"""

DuaneNielsen

import torch
from torch.distributions.normal import Normal
import matplotlib.pyplot as plt

"""
EM algo demo, in pytorch

"""

n = 40 # must be even number

DuaneNielsen

import torch
import torch.nn.functional as F
import pytorch_lightning as pl
from pytorch_lightning.callbacks import ModelCheckpoint, LearningRateMonitor, EarlyStopping
from pytorch_lightning.plugins import DDPPlugin
from pl_bolts.datamodules import MNISTDataModule


class LightningMNISTClassifier(pl.LightningModule):

DuaneNielsen

import torch
import torch.nn.functional as F
import torch.nn as nn
from torch.autograd import Function
from matplotlib import pyplot as plt
from torchvision.io import read_image

inf = float('inf')

DuaneNielsen

http://dev.jackcoldrick.com/custom-form-validation/

DuaneNielsen

snap install --channel 1.13/stable --classic microk8s
microk8s.enable registry
microk8s.enable dns
microk8s.enable storage # not sure if i need this

#install 
snap install helm --classic
/snap/bin/helm init
helm install stable/redis -n ppo-redis
snap alias microk8s.kubectl kubectl