iooops Goto Github PK

csoundforchromebook

A Chrome App for editing and playing Csound files, so Csound can be used on a Chromebook.

d2go

D2Go is a toolkit for efficient deep learning

datawhale-nlp-

deep-improvisation

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepbach

code accompanying "DeepBach: a Steerable Model for Bach Chorales Generation" paper

deepconvsep

Deep Convolutional Neural Networks for Musical Source Separation

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

dnn-mgr

dope-learning

Music generation using deep learning and tensorflow

drive-music-player

Fully client side Music Player for Google Drive

drumkits

Made for WEB AUDIO

eggheadio-web-security-essentails

Notes for Mike Sherov's eggheadio course on Web Security

electron-quick-start

Clone to try a simple Electron app

emo

fibsound

Fibonacci-sequence-generated music

folk-rnn

folk music modelling with LSTM

go-

Homework III

hanlp

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

hi-egg

html5-audio-fft-equalizer

FFT audio file equalizer using HTML5 audio data API (FireFox only)

hwrt

A toolset for handwriting recognition

innis2020

instrument-classification-of-irmas-dataset

- The purpose of this research is to compare and contrast the different algorithm’s results over the IRMAS dataset. The dataset contains 4 different instruments Electric Guitar, Acoustic Guitar, Violin and Trumpet. The features extraction process is performed using the Librosa library and numerous features were extracted such as tempo, beat frames, mfcc etc. Feature selection was done by dimension reduction techniques such as Principal Component Analysis and L1 based feature selection. The method used to classify the instruments were a series of five classification algorithms(KNN, Naive Bayes, Random Forest, Decision Tree, Bagging) using three different approaches which consists of K-folds, Hold out and Leave one out. The results were then compared and contrasted with respect to accuracy.

iooops.github.io

jambot

javascript-undo-manager

Simple Javascript undo and redo independent of other libraries

lamejs

mp3 encoder in javascript