Yul Kang yulkang

Assistant Professor, Bio and Brain Engineering, KAIST; Cognitive computational neuroscience of decision-making under uncertainty

yulkang / rotateVectors.py

Created December 13, 2022 04:29 — forked from fasiha/rotateVectors.py

I frequently have to re-implement projecting vectors onto other vectors, and rotating vectors about other vectors. So here we go. Public domain.

	import unittest
	import numpy as np
	import numpy.linalg as linalg


	def makeUnit(x):
	"""Normalize entire input to norm 1. Not what you want for 2D arrays!"""
	return x / linalg.norm(x)

yulkang / bootstrap.py

Created April 25, 2022 16:49 — forked from johnb30/bootstrap.py

Bootstrapped two-sample t-test in Python

	from __future__ import division
	import numpy as np
	import pandas as pd
	import random

	def sample(data):
	sample = [random.choice(data) for _ in xrange(len(data))]
	return sample

	def bootstrap_t_test(treatment, control, nboot = 1000, direction = "less"):

yulkang / .gitignore

Last active September 7, 2024 06:43 — forked from gngdb/example_usage.py

Wrap PyTorch functions for scipy's optimize.minimize: https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html

*.pyc

yulkang / torch_jacobian.py

Created June 12, 2019 16:02 — forked from sbarratt/torch_jacobian.py

Get the jacobian of a vector-valued function that takes batch inputs, in pytorch.

	def get_jacobian(net, x, noutputs):
	x = x.squeeze()
	n = x.size()[0]
	x = x.repeat(noutputs, 1)
	x.requires_grad_(True)
	y = net(x)
	y.backward(torch.eye(noutputs))
	return x.grad.data