atabakd

import numpy as np
from sklearn.metrics import confusion_matrix
from matplotlib import pyplot as plt  
import itertools

def plot_confusion_matrix(cm, classes,
                          normalize=False,
                          title='Confusion matrix',
                          cmap=plt.cm.Blues):
  """

atabakd

#!/bin/bash

# install CUDA Toolkit v8.0
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb"
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-get update
sudo apt-get -y install cuda

atabakd

<mujoco model="inverted pendulum">
    
    <compiler angle="radian"/>
    
    <option timestep="0.001" iterations="20">        
        <flag sensornoise="enable"/>
    </option>
	
    <default>
    <geom  rgba="0.45 0.6 0.6 1"/>

atabakd

# https://mail.python.org/pipermail/scipy-user/2011-May/029521.html

import numpy as np

def KLdivergence(x, y):
  """Compute the Kullback-Leibler divergence between two multivariate samples.

  Parameters
  ----------
  x : 2D array (n,d)

atabakd

import os

import numpy as np
import torch
from PIL import Image


def gather(consts: torch.Tensor, t: torch.Tensor):
    """Gather consts for $t$ and reshape to feature map shape"""
    c = consts.gather(-1, t)