Duke Yang's repositories
autovc
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
AwesomeKorean_Data
한국어 데이터 세트 링크
Bert-Based-Tag-Recommendation
Associated paper: https://arxiv.org/abs/2010.04971
Bug-Reaper-kaldi
kaldi-asr/kaldi is the official location of the Kaldi project.
deepspeech.pytorch
Speech Recognition using DeepSpeech2.
Doit_textmining
<Do it! 쉽게 배우는 R 텍스트 마이닝> 저장소
Doridori-Counter
Automatic Human Head Shake Counter using Facial Landmarks and peak detection
ELMo-keras
Re-implementation of ELMo on Keras
emoji-java
The missing emoji library for Java :heart:
fpgrowth_py
🔨 Python implementation of FP Growth algorithm, new and simple!
generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
GoEmotions-Korean
Korean version of GoEmotions Dataset 😍😢😱
kaldi-thesis
Master thesis of Ondrej Platek: Automatic speech recognition using Kaldi. Supervised by Filip Jurcicek.
KoEDA
Korean Easy Data Augmentation
Korean-Speech-Emotion-Recognition
한국어 STT를 통한 감정 분류 - Emotion recognition through Korean speech dataset (provided by AI-Hub)
KoSimCSE-SKT
🥕 Korean Simple Contrastive Learning of Sentence Embeddings using SKT KoBERT and kakaobrain KorNLU dataset
kss
Kss: A Toolkit for Korean sentence segmentation
py-kaldi-asr
Some simple wrappers around kaldi-asr intended to make using kaldi's (online) decoders as convenient as possible.
pytopicrank
Keyphrase extraction (TopicRank)
Questgen.ai
Question generation using state-of-the-art Natural Language Processing algorithms
riva_demo
NVIDIA Riva SDK Demonstration for Feb 2022 Developer Meetup
Roadbook_DeepLearning
The Deep Learning Book Example code for Beginner
ros-seminar
ROS 수업, 세미나, 강연, 강의 등의 보조 자료
sentence_emotion_analysis-korean-
한글 문장의 감정을 분류하는 머신러닝 모델입니다.
setk
Tools for Speech Enhancement integrated with Kaldi
STT
🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.