Skip to content

Instantly share code, notes, and snippets.

View elloza's full-sized avatar
🎯
Focusing

El loza elloza

🎯
Focusing
View GitHub Profile
@kerikun11
kerikun11 / k210_mnist.ipynb
Created September 27, 2020 06:38
k210_mnist.ipynb
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@alexanderlerch
alexanderlerch / data-sets.md
Last active December 6, 2025 11:42
list of MIR datasets
dataset meta data contents with audio
200DrumMachines 7371 one-shots yes
AAM onsets, pitches, instruments, melody instrument, keys, chords, tempo, beats 3000 (artificial) tracks yes
ACM_MIRUM tempo 1410 excerpts (60s) yes
ACPAS aligned audio and scores 2189 performances of 497 scores downloadable
AcousticBrainz-Genre 15-31 genres with 265-745 subgenres audio features for ove
@willprice
willprice / README.md
Last active September 4, 2025 09:36
Install OpenCV 4.1.2 for Raspberry Pi 3 or 4 (Raspbian Buster)

Install OpenCV 4.1.2 on Raspbian Buster

$ chmod +x *.sh
$ ./download-opencv.sh
$ ./install-deps.sh
$ ./build-opencv.sh
$ cd ~/opencv/opencv-4.1.2/build
$ sudo make install
@snsinfu
snsinfu / ffserver.conf
Last active August 17, 2020 13:29
Live-transcode RTMP stream to WebM using ffmpeg and ffserver for Chromecast
HTTPBindAddress 0.0.0.0
HTTPPort 8090
CustomLog -
<Feed feed.ffm>
File ./feed.ffm
FileMaxSize 256M
ACL ALLOW localhost
</Feed>
@scrapehero
scrapehero / amazon_reviews.py
Last active November 16, 2022 03:43
Python 3 code to extract amazon reviews
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Written as part of https://www.scrapehero.com/how-to-scrape-amazon-product-reviews-using-python/
from lxml import html
from json import dump,loads
from requests import get
import json
from re import sub
from dateutil import parser as dateparser
from time import sleep
@superdzen
superdzen / keras-regression.py
Last active May 10, 2019 07:58 — forked from guangningyu/keras-regression.py
Reference: [Regression Tutorial with the Keras Deep Learning Library in Python](http://machinelearningmastery.com/regression-tutorial-keras-deep-learning-library-python/)
#!/usr/bin/env python
from urllib.request import urlopen
import numpy as np
from keras.models import Sequential
from keras.layers import Dense
from keras.wrappers.scikit_learn import KerasRegressor
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import KFold
from sklearn.preprocessing import StandardScaler
@guangningyu
guangningyu / keras-regression.py
Created July 19, 2017 04:14
Reference: [Regression Tutorial with the Keras Deep Learning Library in Python](http://machinelearningmastery.com/regression-tutorial-keras-deep-learning-library-python/)
#!/usr/bin/env python
import urllib2
import numpy as np
from keras.models import Sequential
from keras.layers import Dense
from keras.wrappers.scikit_learn import KerasRegressor
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import KFold
from sklearn.preprocessing import StandardScaler
@ousenko
ousenko / RxScanner
Last active December 18, 2017 07:45
Rx Wrapper around Bluetooth Low Energy scan process
import android.bluetooth.BluetoothAdapter;
import android.bluetooth.BluetoothDevice;
import android.text.TextUtils;
import rx.Observable;
import rx.Subscriber;
import rx.android.schedulers.AndroidSchedulers;
import rx.functions.Action0;
import rx.schedulers.Schedulers;
@karussell
karussell / MiniGraphUI.java
Last active June 25, 2021 13:45
Alternative Roads to Rome
/*
* Licensed to GraphHopper and Peter Karich under one or more contributor
* license agreements. See the NOTICE file distributed with this work for
* additional information regarding copyright ownership.
*
* GraphHopper licenses this file to you under the Apache License,
* Version 2.0 (the "License"); you may not use this file except in
* compliance with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
@gojun077
gojun077 / LFCS_study
Created March 19, 2015 05:32
LFCS Study Outline 2015.02.28
* LFCS Domains 2015.02
Note - the domains will change somewhat in March 2015. SW RAID
with mdadm will be removed
** The Command Line
*** Editing text files on the CLI
Covers the use of the basic text editors nano and gedit as well
as the advanced editors _vi_ and _emacs_
- nano
simple CLI-based text editor