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

tarlen5

"""
author: Timothy C. Arlen
date: 28 Feb 2018

Calculate Mean Average Precision (mAP) for a set of bounding boxes corresponding to specific
image Ids. Usage:

> python calculate_mean_ap.py

Will display a plot of precision vs recall curves at 10 distinct IoU thresholds as well as output

vinhkhuc

# Implementation of a simple MLP network with one hidden layer. Tested on the iris data set.
# Requires: numpy, sklearn>=0.18.1, tensorflow>=1.0

# NOTE: In order to make the code simple, we rewrite x * W_1 + b_1 = x' * W_1'
# where x' = [x | 1] and W_1' is the matrix W_1 appended with a new row with elements b_1's.
# Similarly, for h * W_2 + b_2
import tensorflow as tf
import numpy as np
from sklearn import datasets
from sklearn.model_selection import train_test_split

SteveRuben

/**
 * OpenCV video streaming over TCP/IP
 * Client: Receives video from server and display it
 * by Steve Tuenkam
 */

#include "opencv2/opencv.hpp"
#include <sys/socket.h> 
#include <arpa/inet.h>
#include <unistd.h>