jlertle

jlertle

jlertle

How to use different ssh deploy keys for multiple private github repositories with Go Modules

Let's assume you are using Go Modules and have a go.mod file that contains multiple private repos each with a different ssh key. How can you get go mod download to do the right thing -- i.e. use ssh key A with private repo A and ssh key B with private repo B?

Ok, here we go!

Let's assume you have some github.com user with multiple private repos:

https://github.com/someuser/private-repo-1

jlertle

import numpy as np

from keras.layers import Input, Dense
from keras.models import Model, Sequential


def dnn(n_inputs, n_outputs, n_hidden_layers=3, hlayer_size=128, probabilistic=True):
    """Defines simple DNN model
    """
    x_input = Input(shape=[n_inputs])

jlertle

import keras.backend as K
import numpy as np


def gaussian_nll(ytrue, ypreds):
    """Keras implmementation of multivariate Gaussian negative loglikelihood loss function. 
    This implementation implies diagonal covariance matrix.
    
    Parameters
    ----------

jlertle

Based on Summary Trace API,

device_name = tf.test.gpu_device_name()
if not tf.test.is_gpu_available():
    raise SystemError('GPU device not found')
print('Found GPU at: {}'.format(device_name))
os.makedirs(os.path.join(args.exp_dir, 'plugins/profile'), exist_ok=True)
tf.summary.trace_on(graph=True, profiler=True)
tracing_params = params.copy()

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# An example of how to use AWS SNS with Python's boto
# By Stuart Myles @smyles
# http://aws.amazon.com/sns/
# https://github.com/boto/boto
#
# Inspired by parts of the Ruby SWF SNS tutorial http://docs.aws.amazon.com/amazonswf/latest/developerguide/swf-sns-tutorial-implementing-activities-poller.html
# And the Python SNS code in http://blog.coredumped.org/2010/04/amazon-announces-simple-notification.html and http://awsadvent.tumblr.com/post/37531769345/simple-notification-service-sns

import boto.sns as sns
import json

jlertle

pip install streamlit
pip install spacy
python -m spacy download en_core_web_sm
python -m spacy download en_core_web_md
python -m spacy download en_core_web_lg
python -m spacy download de_core_news_sm

jlertle

from math import log
import unittest


def dcg_at_k(scores):
    assert scores
    return scores[0] + sum(sc / log(ind, 2) for sc, ind in zip(scores[1:], range(2, len(scores)+1)))

def ndcg_at_k(predicted_scores, user_scores):
    assert len(predicted_scores) == len(user_scores)

jlertle

"""Information Retrieval metrics

Useful Resources:
http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
http://www.nii.ac.jp/TechReports/05-014E.pdf
http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
Learning to Rank for Information Retrieval (Tie-Yan Liu)
"""
import numpy as np