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Tobias Uelwer tuelwer

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Applied Scientist @ Microsoft interested in machine learning and deep learning

tuelwer / solve-circulant.txt

Last active November 13, 2023 11:23

Solving a linear system with circulant matrix using FFT

	import numpy as np
	from scipy.linalg import circulant

	def solve_circulant(A,b):
	return np.fft.ifft(np.fft.fft(b)/np.fft.fft(A[:,0]))

	n = 10000
	a = np.random.randn(1,n)
	A = circulant(a)
	b = np.random.rand(n)

tuelwer / minted.tex

Last active August 14, 2023 17:33

LaTeX minted Python example

	\documentclass{article}
	\usepackage{algorithm}
	\usepackage{minted}

	\begin{document}
	\begin{algorithm}
	\vspace{0.2em}
	\begin{minted}[xleftmargin=1em, numbersep=6pt, linenos, breaklines]{python}
	def fib(n):
	"""This function calculates the n-th Fibonacci number."""

tuelwer / argparse-example.py

Created May 3, 2023 14:09

	import argparse

	parser = argparse.ArgumentParser()
	parser.add_argument('arg1')
	parser.add_argument('--arg2', default=0.1, type=float)
	args = parser.parse_args()

	print(args.arg1)
	print(args.arg2)

tuelwer / check-triangle-inequality.py

Last active March 10, 2021 14:32

Short Python script that checks whether a matrix fulfills the triangle inequality

	def check_triangle_inequality(D):
	""" Returns true iff the matrix D fulfills
	the triangle inequaltiy.
	"""
	n = len(D)
	valid = True
	for i in range(n):
	for j in range(i, n):
	for k in range(n):
	if k == j or k == i:

tuelwer / plot_bars.py

Created December 18, 2020 07:30 — forked from 99991/plot_bars.py

Plot bar chart with multiple groups of bars with matplotlib pyplot

	import numpy as np
	import matplotlib.pyplot as plt
	import matplotlib

	# ugly hack to embed fonts
	matplotlib.rc("pdf", fonttype=42)

	edgecolor = "black"

	bar_scale = 0.8

tuelwer / pickle-example.py

Created July 28, 2020 15:19

Simple pickle example

	import pickle

	r = [1, 2, 3]
	pickle.dump(r, open('r.file', mode='wb'))
	r = pickle.load(open('r.file', mode='rb'))

tuelwer / pytorch-lbfgs-example.py

Last active June 5, 2025 12:03

pytorch-L-BFGS-example

	import torch
	import torch.optim as optim
	import matplotlib.pyplot as plt


	# 2d Rosenbrock function
	def f(x):
	return (1 - x[0])*2 + 100 (x[1] - x[0]2)2

tuelwer / pytorch-gmm.py

Last active March 10, 2021 14:31

Gaussian mixture model in PyTorch

	class GMM(torch.nn.Module):
	def __init__(self, n, d=2, k=2):
	super(GMM, self).__init__()
	self.d = d
	self.k = k
	self.n = n

	self.covs = torch.eye(self.d).view(-1, self.d, self.d).repeat(self.k,1,1)
	self.mus = torch.zeros(n, k)
	self.member = torch.zeros(n, k)