Harsh Trivedi HarshTrivedi

## pad_packed_demo.py
import torch
from torch import LongTensor
from torch.nn import Embedding, LSTM
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium']
#
#     Step 1: Construct Vocabulary
#     Step 2: Load indexed data (list of instances, where each instance is list of character indices)

## 0_reuse_code.js
// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

## sqlite2pg.sh
#!/bin/sh

# This script will migrate schema and data from a SQLite3 database to PostgreSQL.
# Schema translation based on http://stackoverflow.com/a/4581921/1303625.
# Some column types are not handled (e.g blobs).

SQLITE_DB_PATH=$1
PG_DB_NAME=$2
PG_USER_NAME=$3
	import torch
	from torch import LongTensor
	from torch.nn import Embedding, LSTM
	from torch.autograd import Variable
	from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

	## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium']
	#
	# Step 1: Construct Vocabulary
	# Step 2: Load indexed data (list of instances, where each instance is list of character indices)
	// Use Gists to store code you would like to remember later on
	console.log(window); // log the "window" object to the console
	#!/bin/sh

	# This script will migrate schema and data from a SQLite3 database to PostgreSQL.
	# Schema translation based on http://stackoverflow.com/a/4581921/1303625.
	# Some column types are not handled (e.g blobs).

	SQLITE_DB_PATH=$1
	PG_DB_NAME=$2
	PG_USER_NAME=$3