Oh yes, this is nice:
git revert --strategy resolve <sha-ish>
Given a git log of A--B--C--D--E
you can remove commit C
using:
git revert --strategy resolve <sha-of-C>
Which will produce:
Oh yes, this is nice:
git revert --strategy resolve <sha-ish>
Given a git log of A--B--C--D--E
you can remove commit C
using:
git revert --strategy resolve <sha-of-C>
Which will produce:
/*! = $rembase: 14px | |
-------------------------------------------------------------- | |
* hmtl { font-size: 87.5%; } | |
* body { font-size: 14px; font-size: 1rem; line-height: 1; } | |
* 4px 0.28571429rem | |
* 8px 0.571428571rem | |
* 12px 0.857142857rem | |
* 13px 0.928571429rem | |
* 14px 1rem | |
* 16px 1.142857143rem |
import numpy as np | |
import pandas as pd | |
def compute_market_prices(prices): | |
"""Compute market prices according to the trading competition recipe. | |
Parameters | |
---------- | |
prices : DataFrame |
wordlist created from original 41G stash via: | |
grep -rohP '(?<=:).*$' | uniq > breachcompilation.txt | |
Then, compressed with: | |
7z a breachcompilation.txt.7z breachcompilation.txt | |
Size: |
# Go to home directory | |
cd ~ | |
# You can change what anaconda version you want at | |
# https://repo.continuum.io/archive/ | |
wget https://repo.continuum.io/archive/Anaconda2-4.2.0-Linux-x86_64.sh | |
bash Anaconda2-4.2.0-Linux-x86_64.sh -b -p ~/anaconda | |
rm Anaconda2-4.2.0-Linux-x86_64.sh | |
echo 'export PATH="~/anaconda/bin:$PATH"' >> ~/.bashrc |
I hereby claim:
To claim this, I am signing this object:
#!/usr/bin/env python | |
from glob import glob | |
import cv2 | |
pngs = glob('./*.png') | |
for j in pngs: | |
img = cv2.imread(j) | |
cv2.imwrite(j[:-3] + 'jpg', img) |
##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
# On Ubuntu 14.04 with Titan X (compute capability 5.2) | |
# There are some missing parts that you have to specify, and some files you have to download manaully from web, so don't run this script file as it is. | |
# Configure CUDA paths | |
echo export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64" >> ~/.bashrc | |
echo export CUDA_HOME="/usr/local/cuda" >> ~/.bashrc | |
source ~/.bashrc | |
# Set up java | |
# Dependencies for Bazel | |
# Download jdk 8 |