Note on how to install caffe on Ubuntu. Sucessfully install using CPU, more information for GPU see this link
###Installation
- verify all the preinstallation according to CUDA guide e.g.
lspci | grep -i nvidia
""" | |
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
BSD License | |
""" | |
import numpy as np | |
# data I/O | |
data = open('input.txt', 'r').read() # should be simple plain text file | |
chars = list(set(data)) | |
data_size, vocab_size = len(data), len(chars) |
Note on how to install caffe on Ubuntu. Sucessfully install using CPU, more information for GPU see this link
###Installation
lspci | grep -i nvidia
A personal diary of DataFrame munging over the years.
Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)
#!/usr/bin/env bash | |
# names of latest versions of each package | |
export NGINX_VERSION=1.15.5 | |
export VERSION_NGINX=nginx-$NGINX_VERSION | |
export VERSION_LIBRESSL=libressl-2.8.1 | |
export VERSION_PCRE=pcre-8.42 | |
#export NPS_VERSION=1.9.32.10 | |
#export VERSION_PAGESPEED=v${NPS_VERSION}-beta | |
# (C) Mathieu Blondel, November 2013 | |
# License: BSD 3 clause | |
import numpy as np | |
def ranking_precision_score(y_true, y_score, k=10): | |
"""Precision at rank k | |
Parameters |