Siyeong Siyeong-Lee

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Focusing

Deep learning + Reinforcement learning + Something = AI?

Siyeong-Lee / bresenham3d.py

Created December 12, 2022 04:53 — forked from salmonmoose/bresenham3d.py

Generate unit locations along a 3D line

	def bresenham(startPoint, endPoint):
	startPoint = [int(startPoint[0]),int(startPoint[1]),int(startPoint[2])]

	endPoint = [int(endPoint[0]),int(endPoint[1]),int(endPoint[2])]

	steepXY = (abs(endPoint[1] - startPoint[1]) > abs(endPoint[0] - startPoint[0]))
	if(steepXY):
	startPoint[0], startPoint[1] = startPoint[1], startPoint[0]
	endPoint[0], endPoint[1] = endPoint[1], endPoint[0]

Siyeong-Lee / demo_tf_gradient.ipynb

Created August 13, 2020 05:03 — forked from sjchoi86/demo_tf_gradient.ipynb

Desktop/Framework/Libraries/vibroptml/scripts/demo_tf_gradient.ipynb

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Siyeong-Lee / CAM_pytorch.py

Created November 15, 2019 07:17

	params = list(net.parameters())
	# get only weight from last layer(linear)
	weight_softmax = np.squeeze(params[-2].cpu().data.numpy())

	def returnCAM(feature_conv, weight_softmax, class_idx):
	size_upsample = (128, 128)
	bz, nc, h, w = feature_conv.shape
	output_cam = []
	for idx in class_idx:
	cam = weight_softmax[class_idx].dot(feature_conv.reshape( (nc, h*w)))

Siyeong-Lee / gist:452d101536c14d05a7ba6dcaa8922c30

Created September 4, 2019 10:47

sgd.py

	learning_rate = 0.005 # 이것을 너무 높게 설정하면 폭발할 수 있고 너무 낮으면 학습이 되지 않을 수 있습니다.

	def train(category_tensor, line_tensor):
	hidden = rnn.initHidden()

	rnn.zero_grad()

	for i in range(line_tensor.size()[0]):
	output, hidden = rnn(line_tensor[i], hidden)

Siyeong-Lee / tmux_local_install.sh

Created August 28, 2019 07:41

tmux_local_install.sh

	#!/bin/bash

	# Script for installing tmux on systems where you don't have root access.
	# tmux will be installed in $HOME/local/bin.
	# It's assumed that wget and a C/C++ compiler are installed.

	# exit on error
	set -e

	TMUX_VERSION=2.2

Siyeong-Lee / gist:0e395dd8309501706b626b2530bb225d

Created August 28, 2019 07:41

tmux_local_install.sh

	#!/bin/bash

	# Script for installing tmux on systems where you don't have root access.
	# tmux will be installed in $HOME/local/bin.
	# It's assumed that wget and a C/C++ compiler are installed.

	# exit on error
	set -e

	TMUX_VERSION=2.2

Siyeong-Lee / gist:a006df6b44cc73d74a435d17d05da118

Created June 11, 2019 07:50

countingWordsinFile.py

	import multiprocessing
	import string

	from multiprocessing_mapreduce import SimpleMapReduce

	def file_to_words(filename):
	"""Read a file and return a sequence of (word, occurances) values.
	"""
	STOP_WORDS = set([
	'a', 'an', 'and', 'are', 'as', 'be', 'by', 'for', 'if', 'in',

Siyeong-Lee / get_line.py

Created May 23, 2019 05:50

Bresenham's Line Algorithm

	def get_line(start, end):
	"""Bresenham's Line Algorithm
	Produces a list of tuples from start and end

	>>> points1 = get_line((0, 0), (3, 4))
	>>> points2 = get_line((3, 4), (0, 0))
	>>> assert(set(points1) == set(points2))
	>>> print points1
	[(0, 0), (1, 1), (1, 2), (2, 3), (3, 4)]
	>>> print points2

Siyeong-Lee / parallel_example.py

Created May 13, 2019 07:41

	import torch
	import torch.nn as nn
	from parallel import DataParallelModel, DataParallelCriterion

	model = BERT(args)
	model = DataParallelModel(model)
	model.cuda()

	criterion = nn.NLLLoss()
	criterion = DataParallelCriterion(criterion)

Siyeong-Lee / parallel.py

Created May 13, 2019 07:39

	#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
	## Created by: Hang Zhang
	## ECE Department, Rutgers University
	## Email: zhang.hang@rutgers.edu
	## Copyright (c) 2017
	##
	## This source code is licensed under the MIT-style license found in the
	## LICENSE file in the root directory of this source tree
	##+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++