Pinned Repositories
cat_dog_classification
simple cat dog classification model based on tf2
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Finding-Essential-Parts-in-brain
this is the code for "Finding Essential Parts of the Brain in rs-fMRI can Improve ADHD Diagnosis using Deep Learning" in Arxiv
Getting-Started-with-Google-BERT
Getting Started with Google BERT, published by Packt
GLAM
This is the official code for paper "Speech Emotion Recognition with Global-Aware Fusion on Multi-scale Feature Representation" published in ICASSP 2022
KoGPT2
한국어 문장 생성기 KoGPT-2
LIGHT-SERNET
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition
lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡
nanoGPT
kaparthy gpt form
Optimized_attention_for_SER
byunggunkim's Repositories
byunggunkim/Finding-Essential-Parts-in-brain
this is the code for "Finding Essential Parts of the Brain in rs-fMRI can Improve ADHD Diagnosis using Deep Learning" in Arxiv
byunggunkim/cat_dog_classification
simple cat dog classification model based on tf2
byunggunkim/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
byunggunkim/Getting-Started-with-Google-BERT
Getting Started with Google BERT, published by Packt
byunggunkim/GLAM
This is the official code for paper "Speech Emotion Recognition with Global-Aware Fusion on Multi-scale Feature Representation" published in ICASSP 2022
byunggunkim/KoGPT2
한국어 문장 생성기 KoGPT-2
byunggunkim/LIGHT-SERNET
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition
byunggunkim/lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡
byunggunkim/nanoGPT
kaparthy gpt form
byunggunkim/Optimized_attention_for_SER
byunggunkim/speech-emotion-recognition
speech emotion recognition using a convolutional recurrent networks based on IEMOCAP
byunggunkim/test