Haque Ishfaq hmishfaq

I am a Ph.D. student in the Montreal Institute for Learning Algorithms (MILA) at McGill University.

hmishfaq / pytorch_finetune.py

Created June 8, 2017 08:37 — forked from jcjohnson/pytorch_finetune.py

	import argparse
	import torch
	import torch.nn as nn
	from torch.autograd import Variable
	from torch.utils.data import DataLoader

	import torchvision
	import torchvision.transforms as T
	from torchvision.datasets import ImageFolder

hmishfaq / min-char-rnn.py

Created August 26, 2016 10:36 — 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)

hmishfaq / gist:b86695eb047486760aa2746ffced0783

Created August 26, 2016 10:34 — 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):