Bonggun Shin bgshin

Organizer of Neural🦑quid Systems

bgshin / GitCommitEmoji.md

Created February 18, 2019 18:02 — forked from parmentf/GitCommitEmoji.md

Git Commit message Emoji

*2vec papers

bgshin / pytorch_setup.sh

Created November 21, 2018 23:47 — forked from kylemcdonald/pytorch_setup.sh

Install CUDA 9.2, cuDNN 7.2.1, Anaconda and PyTorch on Ubuntu 16.04.

	# tested on AWS p2.xlarge August 29, 2018

	# install CUDA
	sudo apt-get update && sudo apt-get install wget -y --no-install-recommends
	CUDA_URL="https://developer.nvidia.com/compute/cuda/9.2/Prod2/local_installers/cuda-repo-ubuntu1604-9-2-local_9.2.148-1_amd64"
	wget -c ${CUDA_URL} -O cuda.deb
	sudo dpkg --install cuda.deb
	sudo apt-key add /var/cuda-repo-9-2-local/7fa2af80.pub
	sudo apt-get update
	sudo apt-get install -y cuda

bgshin / index_matrix.py

Created January 16, 2018 04:20 — forked from iwyoo/index_matrix.py

Gathering values using sparse binary form indices

bgshin / np_to_tfrecords.py

Created June 4, 2017 16:38 — forked from swyoon/np_to_tfrecords.py

From numpy ndarray to tfrecords

	import numpy as np
	import tensorflow as tf

	__author__ = "Sangwoong Yoon"

	def np_to_tfrecords(X, Y, file_path_prefix, verbose=True):
	"""
	Converts a Numpy array (or two Numpy arrays) into a tfrecord file.
	For supervised learning, feed training inputs to X and training labels to Y.
	For unsupervised learning, only feed training inputs to X, and feed None to Y.

bgshin / np_to_tfrecords.py

Created June 4, 2017 16:38 — forked from swyoon/np_to_tfrecords.py

From numpy ndarray to tfrecords

	import numpy as np
	import tensorflow as tf

	__author__ = "Sangwoong Yoon"

	def np_to_tfrecords(X, Y, file_path_prefix, verbose=True):
	"""
	Converts a Numpy array (or two Numpy arrays) into a tfrecord file.
	For supervised learning, feed training inputs to X and training labels to Y.
	For unsupervised learning, only feed training inputs to X, and feed None to Y.

bgshin / kb_balance.py

Created January 22, 2014 03:03 — forked from devxoul/kb_balance.py

	# -- coding: utf-8 --

	from datetime import datetime
	import urllib2


	def kb_balance(account, password, resident, username):
	"""
	국민은행 계좌 잔액 빠른조회. 빠른조회 서비스에 등록이 되어있어야 사용 가능.
	빠른조회 서비스: https://obank.kbstar.com/quics?page=C018920

bgshin / korail.py

Created January 22, 2014 03:01 — forked from devxoul/korail.py

	# -- coding: utf-8 --

	import requests
	from bs4 import BeautifulSoup
	from datetime import datetime

	session = requests.session()


	class Train(object):