Akira Tamamori tam17aki

tam17aki / kernel_kmeans.py

Last active April 7, 2023 07:33 — forked from mblondel/kernel_kmeans.py

Kernel K-means.

	# -- coding: utf-8 --
	"""Clustering with Kernel K-means."""

	# Author: Mathieu Blondel <mathieu@mblondel.org>
	# Author: Akira Tamamori
	# License: BSD 3 clause

	import matplotlib.pyplot as plt
	import numpy as np
	from sklearn.base import BaseEstimator, ClusterMixin

tam17aki / audio_tools.py

Created July 26, 2020 04:31 — forked from kastnerkyle/audio_tools.py

Audio tools for numpy/python. Constant work in progress.

	raise ValueError("DEPRECATED/FROZEN - see https://github.com/kastnerkyle/tools for the latest")

	# License: BSD 3-clause
	# Authors: Kyle Kastner
	# Harvest, Cheaptrick, D4C, WORLD routines based on MATLAB code from M. Morise
	# http://ml.cs.yamanashi.ac.jp/world/english/
	# MGC code based on r9y9 (Ryuichi Yamamoto) MelGeneralizedCepstrums.jl
	# Pieces also adapted from SPTK
	from __future__ import division
	import numpy as np

tam17aki / init-ivy.el

Created July 26, 2019 08:17 — forked from takaxp/init-ivy.el

My configs for ivy-mode (0.12.0)

	;; Configurations for ivy-mode (load "/path/to/init-ivy.el" nil t)
	;; This elisp may require:
	;; smex.el, all-the-icons.el, flyspell-correct-ivy.el, counsel-world-clock.el
	;; counsel-gtalgs.el, all-the-icons-ivy.el, counsel-projectile.el
	;; prescient.el, counsel-selected.el, counsel-osx-app.el, ivy-dired-history.el
	;; magit.el, org-recent-headings.el, ivy-posframe.el
	;; 2019-07-26 published.
	;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
	(require 'ivy)
	(require 'counsel)

tam17aki / trim.py

Last active July 3, 2019 11:52 — forked from r9y9/a.py

juliusのセグメンテーション結果に基づいて音声をトリミングする

	import numpy as np
	import os
	from nnmnkwii.datasets import jsut

	import librosa
	import librosa.display
	from matplotlib import pyplot as plt
	from nnmnkwii.io import hts
	from os.path import exists

tam17aki / capsLayer.py

Created November 28, 2017 03:48 — forked from debarko/capsLayer.py

CapsNet Capsule Definition

	# It only has two dependencies numpy and tensorflow
	import numpy as np
	import tensorflow as tf

	from config import cfg


	# Class defining a Convolutional Capsule
	# consisting of multiple neuron layers
	#