mattmcd

grammar CFunction;


function : retType name args ;

args :	 '(' arg (',' arg)* ')' ;

arg 	
  : 	'double' name 	# SCALAR_ARG
	|	'double' '*' name # ARRAY_ARG

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all: test_Factory

test_Factory: test_Factory.cpp
	$(CXX) -std=c++0x -o test_Factory test_Factory.cpp 

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# Instructions for setting up OpenCV development in Clojure on Ubuntu
# Copied from http://docs.opencv.org/2.4/doc/tutorials/introduction/clojure_dev_intro/clojure_dev_intro.html

# Install opencv
sudo apt-get install libopencv-dev

# Get location of latest .jar and .so
dpkg -L libopencv2.4-java | grep jar
dpkg -L libopencv2.4-jni  | grep .so

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# Test framework
from unittest import TestCase
from nose.tools import raises
# Objects under test
from foo import bar

class TestBar(TestCase):
    def test_cool_bar_thing1(self):
        self.assert(1==1)

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mattmcd

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "s3:PutObject",
                "s3:ListAllMyBuckets",
                "s3:ListBucket",
                "s3:CreateBucket"

mattmcd

Keybase proof

I hereby claim:

• I am mattmcd on github.
• I am mattmcd (https://keybase.io/mattmcd) on keybase.
• I have a public key ASC3HfvXMCZ-vnJ4gWwCe_hsgtgEHRNrV2qtHOK8iU40Bgo

To claim this, I am signing this object:

mattmcd

import pystan
import numpy as np

# Two compartment model from
# "Stan: A probabilistic programming language for
#  Bayesian inference and optimization" Gelman, Lee, Guo (2015)
# http://www.stat.columbia.edu/~gelman/research/published/stan_jebs_2.pdf

a = np.array([0.8, 1.0])
b = np.array([2, 0.1])

mattmcd

# Amazon #Sagemaker instance
# open Jupyter
# new terminal
cd SageMaker
git clone https://github.com/matterport/Mask_RCNN.git
git clone https://github.com/waleedka/coco.git
cd coco/PythonAPI
source activate tensorflow_p36
make
python setup.py install

mattmcd

FROM amazonlinux:latest

MAINTAINER Matt McDonnell "[email protected]"

RUN yum -y -q update

RUN yum -y -q install python27-pip zip

RUN pip install -q virtualenv