sefacan

[
    {
        "MemberNo": 10,
        "MemberName": "T.C.ZİRAAT BANKASI A.Ş.",
        "PrefixNo": 404591,
        "CardType": "CREDIT CARD",
        "BusinessCard": false
    },
    {
        "MemberNo": 10,

Venkatstatistics

#Resume Phrase Matcher code


#importing all required libraries

import PyPDF2
import os
from os import listdir
from os.path import isfile, join
from io import StringIO

thomwolf

model.zero_grad()                                   # Reset gradients tensors
for i, (inputs, labels) in enumerate(training_set):
    predictions = model(inputs)                     # Forward pass
    loss = loss_function(predictions, labels)       # Compute loss function
    loss = loss / accumulation_steps                # Normalize our loss (if averaged)
    loss.backward()                                 # Backward pass
    if (i+1) % accumulation_steps == 0:             # Wait for several backward steps
        optimizer.step()                            # Now we can do an optimizer step
        model.zero_grad()                           # Reset gradients tensors
        if (i+1) % evaluation_steps == 0:           # Evaluate the model when we...

nerzid

http://www.oreilly.com/data/free/files/2014-data-science-salary-survey.pdf
http://www.oreilly.com/data/free/files/2015-data-science-salary-survey.pdf
http://www.oreilly.com/data/free/files/Data_Analytics_in_Sports.pdf
http://www.oreilly.com/data/free/files/advancing-procurement-analytics.pdf
http://www.oreilly.com/data/free/files/ai-and-medicine.pdf
http://www.oreilly.com/data/free/files/analyzing-data-in-the-internet-of-things.pdf
http://www.oreilly.com/data/free/files/analyzing-the-analyzers.pdf
http://www.oreilly.com/data/free/files/architecting-data-lakes.pdf
http://www.oreilly.com/data/free/files/being-a-data-skeptic.pdf
http://www.oreilly.com/data/free/files/big-data-analytics-emerging-architecture.pdf

ashokpant

#!/bin/bash

# install CUDA Toolkit v9.0
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb)
CUDA_REPO_PKG="cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64-deb"
wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
sudo apt-get update
sudo apt-get -y install cuda-9-0

mparker2

import numpy as np
from scipy.spatial.distance import cdist
from .dtw import dtw
from .lb import envelope, lb_keogh_cdist, lb_keogh_from_bounds
from .window import window_ts

def dtw_nearest_neighbours(query, db, bound_reach, step_size, subseq=False):
    assert query.ndim == 1
    assert db.ndim == 2
    assert query.flags.contiguous

cheerfulstoic

After reading Why I'm Frequently Absent from Open Source by James Long and listening the corresponding The Changelog episode, I dwelt on the idea and believe that open source maintainers...

• ... should never be ashamed if they don't have time for a project.
• ... should be honest with themselves and open with their users so that everybody can be on the same page
• ... are people and they have at one time or another responsibilities or hardships that they need to attend to which reasonably take them away from a project
• ... may also reasonbly decide that they don't like the direction of a project or that they would like to explore other things and may leave a project permanently.

Along this line of thinking I've created a set of descriptions for different levels at which a project might be maintained. A maintainer can use these to announce to their users the current ability that they have to dedicate to a pr

stefanthaler

pca_animation.m

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Matlab code to produce PCA animations shown here:
% http://stats.stackexchange.com/questions/2691
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

% Static image

clear all
rng(42)

GMMan

Problems and Solutions for Ubuntu 16.04 LTS on ASUS ROG GL502VS Laptop

NVIDIA Graphics

Nouveau does not appear to support Pascal cards right now, so you should use the proprietary NVIDIA driver, available from the Additional Drivers applet.

Panel Dithering