rosinality

from torch import nn
from torch.nn import init
from torch.nn import functional as F

def init_conv(conv, glu=True):
    init.kaiming_normal(conv.weight)
    if conv.bias is not None:
        conv.bias.data.zero_()

class ConvBlock(nn.Module):

Tushar-N

import torch
import torch.nn as nn
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

seqs = ['gigantic_string','tiny_str','medium_str']

# make <pad> idx 0
vocab = ['<pad>'] + sorted(set(''.join(seqs)))

# make model

lvzongting

#reference https://unix.stackexchange.com/questions/136371/how-to-download-a-folder-from-google-drive-using-terminal
#get cookie and code
wget --save-cookies cookies.txt --keep-session-cookies --no-check-certificate 'https://docs.google.com/uc?export=download&id=FILEID' -O- | sed -rn 's/.*confirm=([0-9A-Za-z_]+).*/Code: \1\n/p'

#download the file 
wget --load-cookies cookies.txt 'https://docs.google.com/uc?export=download&confirm=CODE_FROM_ABOVE&id=FILEID'

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'

stared

iamatypeofwalrus

What

Roll your own iPython Notebook server with Amazon Web Services (EC2) using their Free Tier.

What are we using? What do you need?

• An active AWS account. First time sign-ups are eligible for the free tier for a year
• One Micro Tier EC2 Instance
• With AWS we will use the stock Ubuntu Server AMI and customize it.
• Anaconda for Python.
• Coffee/Beer/Time

henrik

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name: