download these packages to ~/opencv/
- opencv-3.3.1.zip
- opencv_contrib-3.3.1.zip
and execute commands below.
import torch | |
import torch.nn as nn | |
import torch.optim as optim | |
import numpy as np | |
import matplotlib.pyplot as plt | |
# dataset | |
# original: f(x) = 2x + 3 | |
dataset_size = 100 |
package unzip | |
import ( | |
"archive/zip" | |
"bytes" | |
"context" | |
"fmt" | |
"io" | |
"log" | |
"os" |
import matplotlib.pyplot as plt | |
import numpy as np | |
import enum | |
import sys | |
class Sample(enum.IntEnum): | |
NUM = 50 | |
# let xs, ys as sample. init. | |
xs = np.zeros(Sample.NUM) |
import numpy as np | |
import matplotlib.pyplot as plt | |
import matplotlib.cm as cm | |
N = 40 | |
p0 = [[np.random.uniform(-1,1), np.random.uniform(-1,1)] for i in range(N)] | |
p1 = [[np.random.uniform(-2,2), np.random.uniform(-2,2)] for i in range(N)] | |
ps = np.array(p0 + p1) | |
cs = np.array([0 if np.linalg.norm(p) < 1 else 1 for p in ps]) |
import java.util.List; | |
import java.util.ArrayList; | |
import java.util.Arrays; | |
import java.util.stream.Stream; | |
import java.net.ServerSocket; | |
import java.net.Socket; | |
import java.nio.file.Paths; | |
import java.nio.file.Path; | |
import java.nio.file.Files; | |
import java.nio.charset.StandardCharsets; |
description | link | version | |
---|---|---|---|
Yahoo! JAPANの天気・災害に掲載されている最新の情報を提供しています。 | http://rdsig.yahoo.co.jp/weather/rss/RV=1/RU=aHR0cDovL3dlYXRoZXIueWFob28uY28uanAvd2VhdGhlci9qcC8xNC8- | 2.0 |
-module(loop). | |
-compile(export_all). | |
check(X) when X >= 0 -> | |
(fun(IsEven, IsOdd, N) -> IsEven(IsEven, IsOdd, N) end) ( | |
fun(IsEven, IsOdd, N) -> | |
if | |
N =:= 0 -> true; | |
true -> IsOdd(IsEven, IsOdd, (N - 1)) | |
end |
-module(kvs). | |
-export([start/0, store/2, lookup/1]). | |
start() -> | |
register(kvs, spawn(fun() -> loop() end)). | |
store(Key, Value) -> | |
rpc({store, Key, Value}). | |
lookup(Key) -> |