bwhite

"""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

claymcleod

import sys,os
import curses

def draw_menu(stdscr):
    k = 0
    cursor_x = 0
    cursor_y = 0

    # Clear and refresh the screen for a blank canvas
    stdscr.clear()

mikefromit

markdown.py

@environmentfilter
def markdown(env, value):
    """
    Markdown filter with support for extensions.
    """
    try:
        import markdown as md

Feynman27

import tensorflow as tf

from keras import backend as K
from keras.layers import Conv2D, MaxPooling2D, Flatten
from keras.layers import Input, LSTM, Embedding, Dense
from keras.models import Model, Sequential
from keras.applications import InceptionV3, VGG19
from keras.layers import TimeDistributed

import numpy as np

vpj

'''
The code is inspired from François Chollet's answer to the following quora question[1] and distributed tensorflow tutorial[2].

It runs the Keras MNIST mlp example across multiple servers.

This sample code runs multiple processes on a single host. It can be configured 
to run on multiple hosts simply by chaning the host names given in *ClusterSpec*.

Training the model:

tombigel

How to Change Open Files Limit on OS X and macOS

This text is the section about OS X Yosemite (which also works for macOS Sierra) from https://docs.basho.com/riak/kv/2.1.4/using/performance/open-files-limit/#mac-os-x

The last time i visited this link it was dead (403), so I cloned it here from the latest snapshot in Archive.org's Wayback Machine https://web.archive.org/web/20170523131633/https://docs.basho.com/riak/kv/2.1.4/using/performance/open-files-limit/

Mac OS X

To check the current limits on your Mac OS X system, run:

jganzabal

This configuration worked for me, hope it helps

It is based on: https://becominghuman.ai/deep-learning-gaming-build-with-nvidia-titan-xp-and-macbook-pro-with-thunderbolt2-5ceee7167f8b

and on: https://stackoverflow.com/questions/44744737/tensorflow-mac-os-gpu-support

Hardware

cmoulton

func makeGetCall() {
  // Set up the URL request
  let todoEndpoint: String = "https://jsonplaceholder.typicode.com/todos/1"
  guard let url = URL(string: todoEndpoint) else {
    print("Error: cannot create URL")
    return
  }
  let urlRequest = URLRequest(url: url)

  // set up the session

DanaCase

import qupath.lib.scripting.QP
import qupath.lib.geom.Point2
import qupath.lib.roi.PolygonROI
import qupath.lib.objects.PathAnnotationObject
import qupath.lib.images.servers.ImageServer


//Aperio Image Scope displays images in a different orientation
def rotated = true

Svidro

Scripts mostly taken from Pete, and also from the forums. For easy access and reference.

TOC

Alignment: Several scripts to assist in alignment as of M9. Store scripts make files using the Affine transformation while
TransferObjects uses the stored file in the Affine folder with the current image name to move objects into it.
The final result is that one set of files can be generated for the transforms, and those transforms can be accessed to move objects
back and forth between the images.

Change annotations into Cell objects.groovy - Converts annotations into PathCellObjects, which allows certian functions to work within