| package main | |
| import ( | |
| "encoding/json" | |
| "os" | |
| "reflect" | |
| "text/template" | |
| ) |
| # Notes: | |
| # You need to have the clusterone package installed (pip install tensorport) | |
| # Export logs and outputs to /logs, your data is in /data. | |
| import tensorflow as tf | |
| from clusterone import get_data_path, get_logs_path | |
| # Get the environment parameters for distributed TensorFlow | |
| try: |
| # This is shorthened version of blog post | |
| # http://ksopyla.com/2017/02/tensorflow-gpu-virtualenv-python3/ | |
| # update packages | |
| sudo apt-get update | |
| sudo apt-get upgrade | |
| #Add the ppa repo for NVIDIA graphics driver | |
| sudo add-apt-repository ppa:graphics-drivers/ppa | |
| sudo apt-get update |
| #!/bin/bash | |
| # install CUDA Toolkit v8.0 | |
| # instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network)) | |
| CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb" | |
| wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG} | |
| sudo dpkg -i ${CUDA_REPO_PKG} | |
| sudo apt-get update | |
| sudo apt-get -y install cuda |
| #! /usr/bin/env python3 | |
| """Fixing bluetooth stereo headphone/headset problem in debian distros. | |
| Workaround for bug: https://bugs.launchpad.net/ubuntu/+source/indicator-sound/+bug/1577197 | |
| Run it with python3.5 or higher after pairing/connecting the bluetooth stereo headphone. | |
| This will be only fixes the bluez5 problem mentioned above . | |
| Licence: Freeware |
| import tensorflow as tf | |
| import numpy as np | |
| class TextCNN(object): | |
| """ | |
| A CNN for text classification. | |
| Uses an embedding layer, followed by a convolutional, max-pooling and softmax layer. | |
| """ | |
| def __init__( |
| # A proof of concept to demonstrate TOTP bruteforcing concepts | |
| # Parameters to control simulation behavior### | |
| request_rate = 4 | |
| totp_validity_window = 90 #in seconds | |
| totp_guesses_per_auth_session = request_rate * totp_validity_window # number of totp guesses per auth session | |
| simulated_logins = 100 # number of simulated logins to help determine average rate of TOTP collision | |
| ############################################## | |
| # Helper Methods |
Below is the list of modern JS frameworks and almost frameworks – React, Vue, Angular, Ember and others.
All files were downloaded from https://cdnjs.com and named accordingly.
Output from ls command is stripped out (irrelevant stuff)
$ ls -lhS
566K Jan 4 22:03 angular2.min.js
| # Edit ~/.bash_profile | |
| export GOPATH=/Users/$USER/go | |
| export PATH=$GOPATH/bin:$PATH | |
| # Reload profile : source ~/.bash_profile |
| # You need to install scikit-learn: | |
| # sudo pip install scikit-learn | |
| # | |
| # Dataset: Polarity dataset v2.0 | |
| # http://www.cs.cornell.edu/people/pabo/movie-review-data/ | |
| # | |
| # Full discussion: | |
| # https://marcobonzanini.wordpress.com/2015/01/19/sentiment-analysis-with-python-and-scikit-learn | |