szs8

OS X ships with an ancient version of openssl and I ran into problems using starcluster with Anaconda python distribution (APD).

Every starcluster command failed with the following error:
SSLError: [Errno 1] _ssl.c:504: error:14090086:SSL routines:SSL3_GET_SERVER_CERTIFICATE:certificate verify failed

The continuum guys are working on fix. Meanwhile a quick workaround is to use homebrew to build python with a newer openssl version and then substitute the _ssl.so in APD with the homebrew _ssl.so


1) brew install python --with-brewed-openssl

jmsaavedra

Install FFmpeg via CLI on Linux box

These steps walk through installing a static binary of any ffmpeg version on to your linux machine. If you want to compile from source, there are several ways to do so. Here's the official guide. Tested and works on an AWS EC2 Ubuntu instance, but should work on any Linux machine.

http://ffmpeg.org

• SSH into your instance and become root

hfreire

# Install QEMU OSX port with ARM support
sudo port install qemu +target_arm
export QEMU=$(which qemu-system-arm)

# Dowload kernel and export location
curl -OL \
https://github.com/dhruvvyas90/qemu-rpi-kernel/blob/master/kernel-qemu-4.1.7-jessie
export RPI_KERNEL=./kernel-qemu-4.1.7-jessie

# Download filesystem and export location

GilLevi

Gil Levi and Tal Hassner, Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns

Convolutional neural networks for emotion classification from facial images as described in the following work:

Gil Levi and Tal Hassner, Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns, Proc. ACM International Conference on Multimodal Interaction (ICMI), Seattle, Nov. 2015

Project page: http://www.openu.ac.il/home/hassner/projects/cnn_emotions/

If you find our models useful, please add suitable reference to our paper in your work.

charanpald

# Run some recommendation experiments using MovieLens 100K
import pandas
import numpy
import scipy.sparse
import scipy.sparse.linalg
import matplotlib.pyplot as plt
from sklearn.metrics import mean_absolute_error

data_dir = "data/ml-100k/"
data_shape = (943, 1682)

jarutis

sudo su

# Java
yum -y install java-1.8.0-openjdk-devel

# Build Esentials (minimal)
yum -y install gcc gcc-c++ kernel-devel make automake autoconf swig git unzip libtool binutils

# Extra Packages for Enterprise Linux (EPEL) (for pip, zeromq3)
yum -y install epel-release

sausax

# This specifies the deployment process on AWS ElasticBeanstalk for a Django app using npm and Postgres.
#
# The target environment should have access to a Postgres Database through environment variables.
# The environment can be setup using `eb create --database.engine=postgres`
# The necessary environment variables to access the database will be automatically defined on the
# instances of that environment.
#
# In addition, the target environment should define environment variables (django secret key ...).
# They can be manually defined using the AWS ElasticBeanstalk interface on the web.
# They can also be specified when creating the environment from command line, for example: 

oseiskar

#!/usr/bin/python
#
#  Copyright 2017 Otto Seiskari
#  Licensed under the Apache License, Version 2.0.
#  See http://www.apache.org/licenses/LICENSE-2.0 for the full text.
#
#  This file is based on
#  https://github.com/swagger-api/swagger-ui/blob/4f1772f6544699bc748299bd65f7ae2112777abc/dist/index.html
#  (Copyright 2017 SmartBear Software, Licensed under Apache 2.0)
#

htruong

#!/bin/bash

# This script allows you to chroot ("work on") 
# the raspbian sd card as if it's the raspberry pi
# on your Ubuntu desktop/laptop
# just much faster and more convenient

# credits: https://gist.github.com/jkullick/9b02c2061fbdf4a6c4e8a78f1312a689

# make sure you have issued

seece

import numpy as np
import matplotlib.pyplot as plt
from numpy import array
import torch
from torch import Tensor

"""
A dumb triangle rasterizer with PyTorch.
It evaluates the barycentrics for all image pixels for each triangle
and then picks the "colors" (just barycentrics again) for each pixel