I hereby claim:
- I am gmodena on github.
- I am gmodena (https://keybase.io/gmodena) on keybase.
- I have a public key whose fingerprint is ECBA 9561 6FDD 553A FBF6 0356 44D0 A590 6445 3826
To claim this, I am signing this object:
traceroute to hachyderm.io (139.162.143.203), 64 hops max, 52 byte packets | |
1 192.168.1.1 (192.168.1.1) 2.378 ms 1.892 ms 5.331 ms | |
2 195-190-228-43.fixed.kpn.net (195.190.228.43) 12.863 ms 19.281 ms 6.019 ms | |
3 * * * | |
4 * * * | |
5 ae-0.akamai.amstnl09.nl.bb.gin.ntt.net (168.143.105.181) 3.337 ms 16.023 ms 25.189 ms | |
6 ae12.r02.ams01.icn.netarch.akamai.com (23.197.69.40) 6.072 ms 3.463 ms 4.142 ms | |
7 ae5.r01.fra03.icn.netarch.akamai.com (95.100.192.138) 12.224 ms 31.355 ms 10.561 ms | |
8 ae1.r02.fra03.ien.netarch.akamai.com (23.210.54.37) 13.545 ms 14.298 ms 13.710 ms | |
9 a23-210-54-19.deploy.static.akamaitechnologies.com (23.210.54.19) 10.493 ms 10.410 ms 10.357 ms |
# this installs the stand compiler and R bindings | |
install.packages("rstan") | |
library(rstan) | |
# Generate sample data | |
x1 <- rnorm(41, mean=15, sd=1.5) | |
x2 <- rnorm(79, mean=17, sd=1.1) | |
x <- c(x1, x2) |
name: pysyft | |
channels: | |
- defaults | |
dependencies: | |
- ca-certificates=2021.4.13=hecd8cb5_1 | |
- certifi=2020.12.5=py36hecd8cb5_0 | |
- libcxx=10.0.0=1 | |
- libffi=3.3=hb1e8313_2 | |
- ncurses=6.2=h0a44026_1 | |
- openssl=1.1.1k=h9ed2024_0 |
// Update of https://github.com/learninghadoop2/book-examples/blob/master/ch2/build.gradle | |
// Default to HTTPs maven central to fix broken dependencies. | |
apply plugin:'java' | |
sourceCompatibility = 1.8 | |
targetCompatibility = 1.8 | |
repositories{ | |
maven { | |
url = 'https://repo1.maven.org/maven2/' | |
} |
// Update of https://github.com/learninghadoop2/book-examples/blob/master/ch3/build.gradle | |
// Drop Cloudera versions of Hadoop packages, and use vanilla versions instead. | |
apply plugin:'java' | |
sourceCompatibility = 1.8 | |
targetCompatibility = 1.8 | |
// Use maven central (over https) instead of Cloudera repos | |
repositories { | |
maven { | |
url = 'https://repo1.maven.org/maven2/' |
def to_binary(string: str): | |
string = ( | |
string.replace("B", "1").replace("F", "0").replace("R", "1").replace("L", "0") | |
) | |
return int(string, base=2) | |
def part1(strings): | |
return max([to_binary(string) for string in strings]) |
BEGIN MESSAGE. | |
OCGtvlQIavHF9Ef rgBiIpLuqjSWxDn R2wCYVM5FrXfcU0 1NSAjCvd80kWwlp | |
wopr1tYCuc5oTS4 ESaEp6nUJhuTCKq 6Xr2MZHgg6tNpjr 5FEXqpZiw6r2Xit | |
ry2InU0nySGcOis v6hOZXgrWVX9F5x 1XVWzfpR1Inj45S en9PN9yRb9eTcCd | |
d9mW08c3uZr3VEI z7YY1rxVcTcpqQK vSQkc2IP. | |
END MESSAGE. |
/// String parsing example | |
impl FromStr for InputRange { | |
type Err = ParseError; | |
fn from_str(input: &str) -> std::result::Result<Self, Self::Err> { | |
lazy_static! { | |
static ref RE: Regex = Regex::new(r"(\d+)-(\d+)").unwrap(); | |
}; | |
let parse_error_msg= "Could not parse input range"; |
# Steffen Rendle (2012): Factorization Machines with libFM, | |
# in ACM Trans. Intell. Syst. Technol., 3(3), May. | |
# http://doi.acm.org/10.1145/2168752.2168771 | |
import tensorflow as tf | |
import numpy as np | |
N_EPOCHS = 1000 | |
x_data = np.matrix([[ 19., 0., 0., 0., 1., 1., 0., 0., 0.], | |
[ 33., 0., 0., 1., 0., 0., 1., 0., 0.], |
I hereby claim:
To claim this, I am signing this object: