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dkohlsdorf /
Last active Jul 15, 2019
Deleting Whistles From Clicks
import matplotlib.pyplot as plt
import numpy as np
import warnings
import os
from collections import namedtuple
from numpy.fft import fft, ifft
from import wavfile
from scipy.ndimage import gaussian_filter
dkohlsdorf / camnet.js
Created Jul 9, 2019
WebCam and MobileNet in Tensorflow.js
View camnet.js
* Object Recognition from Webcam
* by Daniel Kyu Hwa Kohlsdorf
* mailto:
'use strict';
dkohlsdorf /
Last active Jun 26, 2019
Triplet Loss Experiments For Audio Data with Tensorflow 2.0
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
import tensorflow.keras.layers as layers
import tensorflow.keras.losses as loss
import tensorflow_datasets.public_api as tfds
from sys import argv
from random import Random
from os import walk
dkohlsdorf / AutoDiff.ipynb
Last active Apr 5, 2019
Auto Differentiation To Latex
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dkohlsdorf /
Last active Mar 19, 2019
Align A Bunch Of Videos. Second file using merge sort for joining the timestamps.
Align videos using Dynamic Time Warping
Given a set of video files with associated time stamp files,
the program creates a new set of aligned videos.
Copyright (c) <year> <copyright holders>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
dkohlsdorf /
Last active Mar 14, 2019
Avro over TCP / Ip in Rust
extern crate avro_rs;
use avro_rs::*;
use std::io::prelude::*;
use std::net::TcpListener;
use std::net::TcpStream;
use std::thread;
#[derive(Debug, Deserialize, Serialize)]
pub struct Test {
dkohlsdorf /
Last active Jun 8, 2019
Download Toronto Emotion Speech Set
from lxml import html
import requests
import urllib.request
import re
import time
import os.path
HANDLE = '^/handle/[0-9]+/[0-9]+$'
page = requests.get(BASE_URL + '/handle/1807/24487')
dkohlsdorf /
Created Aug 16, 2018
Simple iSAX Implementation
import numpy as np
import scipy.stats as stats
def generate_split(n_char, mu = 0.0, std = 1.0):
return stats.norm.ppf(np.arange(1, n_char) / n_char, mu, std)
def convert(x, splits, cardinality):
n = len(x)
chars = np.zeros(n,
for i in range(0, n):
dkohlsdorf /
Created Jun 27, 2018
Union Find Data Structure
public class UnionFind {
private int id[];
private int count;
public UnionFind(int N) {
count = N;
id = new int[N];
for(int i = 0; i < N; i++) {
View InfiniteCalm.ipynb
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