larryli

#!/bin/sh
export GIT_SSH_COMMAND='ssh -o ProxyCommand="connect -S 127.0.0.1:1080 %h %p"'
git config --global core.sshCommand 'ssh -o ProxyCommand="connect -S 127.0.0.1:1080 %h %p"'

git clone -c=core.sshCommand 'ssh -o ProxyCommand="connect -S 127.0.0.1:1080 %h %p"' [email protected]:larryli/ipv4.git
git config core.sshCommand 'ssh -o ProxyCommand="connect -S 127.0.0.1:1080 %h %p"'

artsobolev

Note: I'm updating this gist as I encounter new reviews, so make sure you're reading the latest revision!

Just as the previous year I collected (and keep doing so) links to various summaries and takeaways from this year's NIPS.

• NIPS 2016 Symposium on People and machines: Public views on machine learning, and what this means for machine learning researchers. (Notes and panel discussion) by /u/gcr
• NIPS 2016 summary, wrap up, and links to slides by /u/beamsearch
• Post NIPS Reflections by Neil Lawrence
• [Some general take aways from #NIPS2016](https://medium.com/@IgorCarron/some-general-take-aways-from-ni

frfahim

First install fish shell on your system

sudo apt-get update
sudo apt-get install fish

Or install fish via ppa

sudo apt-add-repository ppa:fish-shell/release-2
sudo apt-get update

sudo apt-get install fish``

rtqichen

## Weight norm is now added to pytorch as a pre-hook, so use that instead :)

import torch
import torch.nn as nn
from torch.nn import Parameter
from functools import wraps

class WeightNorm(nn.Module):
    append_g = '_g'
    append_v = '_v'

shgidi

#https://gist.github.com/stared/dfb4dfaf6d9a8501cd1cc8b8cb806d2e
class PlotLosses(keras.callbacks.Callback):
    
    def __init__(self,imgs):
        super(PlotLosses, self).__init__()
        self.imgs=imgs
    
    def on_train_begin(self, logs={}):
        self.i = 0
        self.x = []

kevinzakka

"""
Create train, valid, test iterators for CIFAR-10 [1].
Easily extended to MNIST, CIFAR-100 and Imagenet.

[1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4
"""

import torch
import numpy as np

primaryobjects

<div className='delete-button' onClick={() => { if (window.confirm('Are you sure you wish to delete this item?')) this.onCancel(item) } } />

oseiskar

superMDguy

train.visit_date = pd.to_datetime(train.visit_date)
test.visit_date = pd.to_datetime(test.visit_date)

def add_weather(dataset):                                                                                                                     
    print('Adding weather...')                                                                                                                
    air_nearest = pd.read_csv(                                                                                                                
        '../../data/raw/weather/air_store_info_with_nearest_active_station.csv')                                                              
    unique_air_store_ids = list(dataset.air_store_id.unique())                                                                                
                                                                                                                                              
    weather_dir = '../../data/raw/weather/1-1-16_5-31-17_Weathe

deargle

# -*- coding: utf-8 -*-
"""
Created on Tue Apr 24 16:30:42 2018

@author: deargle
"""

from sklearn.feature_extraction.text import TfidfVectorizer
from nltk.stem.porter import PorterStemmer
import nltk