Sergey Karayev sergeyk

## lmdb.rb
require 'formula'

class Lmdb < Formula
  homepage 'http://symas.com/mdb/'
  url 'https://gitorious.org/mdb/mdb/archive/LMDB_0.9.11.tar.gz'
  sha1 '8015de70514e8b437b4bc43718a7034101efdc67'

  head 'git://git.openldap.org/openldap.git', :branch => 'mdb.master'

  def install

## gist:b69c1fe0468fbe4530e3
[       OK ] ThresholdLayerTest/1.TestGPU2 (0 ms)
[----------] 5 tests from ThresholdLayerTest/1 (1 ms total)

[----------] 3 tests from MultiLabelAccuracyLayerTest/0, where TypeParam = float
[ RUN      ] MultiLabelAccuracyLayerTest/0.TestWithHalfZeros
src/caffe/test/test_multi_label_accuracy_layer.cpp:113: Failure
The difference between reference_loss and layer_loss is 1.8095757961273193, which exceeds eps, where
reference_loss evaluates to 1.8095757961273193,
layer_loss evaluates to 0, and
eps evaluates to 0.019999999552965164.

## gene_correlations.ipynb

      
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              December 11, 2015 20:19
            
              
                Plotting some (outdated) art genome gene correlation data for Leonard.
              
          
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## gene_correlations2.ipynb

      
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## gist:5358763
{
 "metadata": {
  "name": "imagenet2"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

## missing_classification.ipynb

      
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## plotting_ilsvrc65.py
# assumes there is a dictionary that has keys
# 'g': the nx.DiGraph graph
# 'nodes': list of node names
# 'heights': list of integer heights of the nodes

fig = plt.figure()
ax = fig.add_subplot(111)

g = graph['g']
nodes = graph['nodes']

## testing.ipynb

      
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              Created
              May 7, 2013 00:18
            
          
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## ava.ipynb

      
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              Created
              July 10, 2013 07:24
            
          
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## gist:6033424
{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
	require 'formula'

	class Lmdb < Formula
	homepage 'http://symas.com/mdb/'
	url 'https://gitorious.org/mdb/mdb/archive/LMDB_0.9.11.tar.gz'
	sha1 '8015de70514e8b437b4bc43718a7034101efdc67'

	head 'git://git.openldap.org/openldap.git', :branch => 'mdb.master'

	def install
	[ OK ] ThresholdLayerTest/1.TestGPU2 (0 ms)
	[----------] 5 tests from ThresholdLayerTest/1 (1 ms total)

	[----------] 3 tests from MultiLabelAccuracyLayerTest/0, where TypeParam = float
	[ RUN ] MultiLabelAccuracyLayerTest/0.TestWithHalfZeros
	src/caffe/test/test_multi_label_accuracy_layer.cpp:113: Failure
	The difference between reference_loss and layer_loss is 1.8095757961273193, which exceeds eps, where
	reference_loss evaluates to 1.8095757961273193,
	layer_loss evaluates to 0, and
	eps evaluates to 0.019999999552965164.
	{
	"metadata": {
	"name": "imagenet2"
	},
	"nbformat": 3,
	"nbformat_minor": 0,
	"worksheets": [
	{
	"cells": [
	{
	# assumes there is a dictionary that has keys
	# 'g': the nx.DiGraph graph
	# 'nodes': list of node names
	# 'heights': list of integer heights of the nodes

	fig = plt.figure()
	ax = fig.add_subplot(111)

	g = graph['g']
	nodes = graph['nodes']
	{
	"metadata": {
	"name": ""
	},
	"nbformat": 3,
	"nbformat_minor": 0,
	"worksheets": [
	{
	"cells": [
	{