Sungjin Ahn skaasj

skaasj / chainer_encoder_decoder.py

Created September 28, 2015 14:06 — forked from odashi/chainer_encoder_decoder.py

Training and generation processes for neural encoder-decoder machine translation.

	#!/usr/bin/python3

	import datetime
	import sys
	import math
	import numpy as np
	from argparse import ArgumentParser
	from collections import defaultdict

	from chainer import FunctionSet, Variable, functions, optimizers

skaasj / min-char-rnn.py

Created September 27, 2015 12:50 — forked from karpathy/min-char-rnn.py

Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy

	"""
	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)

skaasj / gist:8d2f1ef9976d8b7ca514

Created September 27, 2015 12:50 — forked from karpathy/gist:587454dc0146a6ae21fc

An efficient, batched LSTM.

	"""
	This is a batched LSTM forward and backward pass
	"""
	import numpy as np
	import code

	class LSTM:

	@staticmethod
	def init(input_size, hidden_size, fancy_forget_bias_init = 3):

skaasj / conv_deconv_vae.py

Last active September 17, 2015 16:24 — forked from kastnerkyle/conv_deconv_vae.py

Convolutional Variational Autoencoder, modified from Alec Radford at (https://gist.github.com/Newmu/a56d5446416f5ad2bbac)

	# Alec Radford, Indico, Kyle Kastner
	# License: MIT
	"""
	Convolutional VAE in a single file.
	Bringing in code from IndicoDataSolutions and Alec Radford (NewMu)
	Additionally converted to use default conv2d interface instead of explicit cuDNN
	"""
	import theano
	import theano.tensor as T
	from theano.compat.python2x import OrderedDict

skaasj / vae.py

Last active September 17, 2015 16:23 — forked from kastnerkyle/vae.py

VAE in a single file

	# Alec Radford, Indico, Kyle Kastner
	# License: MIT
	"""
	VAE in a single file.
	Bringing in code from IndicoDataSolutions and Alec Radford (NewMu)
	"""
	import theano
	import theano.tensor as T
	from theano.compat.python2x import OrderedDict
	from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams