Projects
1.[Dev Course Monthly 프로젝트]#1 인공지능 데브코스, 데이터 시각화 웹페이지 만들기
django를 사용해서 웹페이지를 만들고, 그것을 aws를 활용해 배포하는 프로젝트를 진행해 보았다.
2.[Dev Course Weekly실습]#1, cs231n assignment 1, kNN
kNN, 외로운 현대사회를 치료하는 하나ㅇ...
3.[Dev Course Weekly실습]#2, Kaggle in Titanic
Titanic 많이 배웠습니다 감사합니다...
4.[Dev Course Weekly실습]#3, Delivery Prediction
배달을 빨리 받고 싶으면 왜 메뉴를 통일해야 할까?
5.[Dev Course Weekly실습]#4, ML logistic regression
logistic regression, 어떻게 이루어져 있고 어떻게 그려질까
6.[Dev Course Weekly실습]#5, multilayer perceptron with mnist
mnist 데이터를 심층신경망으로 만들어보자.
7.[Dev Course Monthly프로젝트]#2 ML Algorithm을 활용한 이미지 분류
이미지 분류는 데이터 준비부터가 고역인걸
8.[Dev Course Monthly프로젝트]#3 풍경 분류하기 목표는 94퍼센트
분류의 정확도를 높이기 위한 방법에 대해서 동빈나님께 많은 것을 배울 수 있는 시간이었다.
9.[Dev Course 최종 프로젝트]#1 NLP : Transformer 코딩해보기
작업중인 문서입니다.
10.[Dev Course Monthly프로젝트]#4 GAN을 사용해서 마스크 이미지를 생성해보기
Custom GAN을 만들어보자.
11.[Dev Course Monthly프로젝트]#5 adversarial attack 적대적 공격 알고리즘
적대적 공격 adversarial attack
12.[Dev Course 최종 프로젝트]#2 NLP : 뉴스 기사 감성분류하기, custom vocab
뉴스 감성 분성을 위한 labeling
13.[NIA sound event detection]#1 panns 모델을 활용, diff를 활용해서 on & off 잡아내기
sound event detection
14.[AI Music Generation Challenge]#1 tune generation & title embedding (기본모델)
좋은 과정을 만들자!
15.[NIA sound event detection]#2 모델의 예측 결과를 label-studio에 올리기
인고의 시간
16.[AI Music Generation Challenge]#2 pitch & duration language model
multi-input data를 rnn에서 처리하는 방법을 알아보자
17.[22 A&C 최종프로젝트]#1 몰입
정반반반반반하...ㅂ?
18.[AI Music Generation Challenge]#3 MeasureNoteModel & MeasureNumberSet
차근차근
19.[AI Music Generation Challenge]#4 Title Representation RNN & CNN
title with tune
20.[AI Music Generation Challenge]#5 Title Representation : Experiment
Experiment with purpose
21.[AI Music Generation Challenge]#6 Title Representation : Metric
Metric is the important, maybe?
22.[AI Music Generation Challenge]#7 Title Representation : About Genre
How about genre?
23.[Resource Repository] Personal Study Bank
Links for check
24.[Symbolic-Music-Encoding]#1 Introduction & REMI review
introduction
25.[Symbolic-Music-Encoding]#1.5 Two methods of symbolic music representations
two approaches
26.[Symbolic-Music-Encoding]#1.7 Musical Texture
4 different musical textures
27.[Symbolic-Music-Encoding]#2 CP review & reconstruction
approach to review papers deeply
28.[Symbolic-Music-Encoding]#2.5 MusicBert, OctupleMIDI
OctupleMIDI, is that special?
29.[Symbolic-Music-Encoding]#3 Note-based Encoding(NB)
Note-level let's go
30.[Collecting Pansori Dataset]#1 Introduction
our sound, find beauty and power in it
31.[Symbolic-Music-Encoding]#4 Optimizing Note-based Encoding(NB)
overcome, NB let's go again
32.[Collecting Pansori Dataset]#2 Collecting Method
Url Soo
33.[Symbolic-Music-Encoding]#4.5 paper review: MULTITRACK MUSIC TRANSFORMER
how to implement between representation and architecture
34.[Symbolic-Music-Encoding]#5.3 Paper writing
writing~ wow
35.[Symbolic-Music-Encoding]#5.5 paper review, TunesFormer: Forming Irish Tunes with Control Codes by Bar Patching
character level interesting~
36.[Symbolic-Music-Encoding]#5.7 Figures of grid making process
process aligned
37.[Symbolic-Music-Encoding]#6.0 Evaluation Algorithms
for a fair comparison
38.[Symbolic-Music-Encoding]#7.0 Degeneration & Listening Test
let's see the actual test
39.[Symbolic-Music-Encoding]#7.3 Several Issues
deal with them
40.[Symbolic-Music-Encoding]#7.5 Writing Papers
resolving
41.[Symbolic-Music-Encoding]#extra Double-sequential Transformer for DHE presentation
for my master! for my symbolic
42.[Prepare Audio]#1 metrics related to Audio(IS, FID, FAD, KLD)
measure and calculate
43.[Sampling Method]#1 Eta-sampling feat.(Nucleus, Typical sampling)
dig sampling more