| from __future__ import division | |
| import json | |
| import numpy as np | |
| import keras | |
| from keras.datasets import mnist | |
| from keras import backend as K, layers as L | |
| from keras.models import load_model, Model, model_from_config |
| #!/bin/bash | |
| CUDA_LIB_DIR=/usr/local/cuda/lib | |
| CUDA_VERSION=7.5 | |
| CUDA_LIBS="cublas cudart curand" | |
| CUDNN_LIB_DIR=/usr/local/cuda/cudnn-3/lib | |
| CUDNN_VERSION=7.0 | |
| CUDNN_LIBS="cudnn" |
| #!/bin/bash | |
| pid=$1 | |
| echo "Watching for spot instance termination; will SIGHUP $pid if so." | |
| while kill -0 $pid >/dev/null 2>/dev/null; do | |
| if curl -s http://169.254.169.254/latest/meta-data/spot/termination-time | grep -q .*T.*Z; then | |
| echo 'oh noes! telling caffe to snapshot.' | |
| kill -SIGHUP $pid | |
| fi |
| ''' | |
| Implementation of Fastfood (Le, Sarlos, and Smola, ICML 2013). | |
| Primarily by @esc (Valentin Haenel) and felixmaximilian | |
| from https://github.com/scikit-learn/scikit-learn/pull/3665. | |
| Modified by @dougalsutherland. | |
| FHT implementation was "inspired by" https://github.com/nbarbey/fht. | |
| ''' |
I hereby claim:
To claim this, I am signing this object:
{
| #!/usr/bin/python | |
| ''' | |
| Script to set the OSX or Unity desktop background to the top picture from a | |
| given subreddit. | |
| NOTE: on OSX, sets it for the current space (on all monitors), but not other | |
| spaces. There doesn't seem to be an AppKit API to change it for all spaces. | |
| ''' | |
| from __future__ import division, print_function, unicode_literals |
| #!/usr/bin/env python | |
| from __future__ import print_function | |
| import json | |
| import os | |
| import sys | |
| def check(path, checksum=False): | |
| if checksum: | |
| from conda.utils import md5_file | |
| missing = set() |