SuperSupermoon
PhD student at Graduate School of AI, KAIST. Medical AI. Computer Vision & NLP.
KAISTSeongnam, Republic of Korea
Pinned Repositories
Automatic-stenosis-recognition-from-CAG
Automatic stenosis recognition.
BLIP
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
coco-caption
Adds SPICE metric to coco-caption evaluation server codes
DenseCL
Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.
DenseCL-analysis
Correlation between Alignment-Uniformity and Performance of Dense Contrastive Representations (BMVC 22)
General-Domain-Dataset-download
ImageNet, COCO, Pascal VOC, Cityscapes, ADE20k, PASS, etc.
GPU_TPU_usage
torch DDP, TPU, nsml (naver AI research env.), etc.
KoSAIM2022
[KoSAIM 2022 Summer School] RNN Hands-on session.
MedViLL
MedViLL official code. (Published IEEE JBHI 2021)
mmodal_mixer
Final project in KAIST AI class.
SuperSupermoon's Repositories
SuperSupermoon/MedViLL
MedViLL official code. (Published IEEE JBHI 2021)
SuperSupermoon/Automatic-stenosis-recognition-from-CAG
Automatic stenosis recognition.
SuperSupermoon/KoSAIM2022
[KoSAIM 2022 Summer School] RNN Hands-on session.
SuperSupermoon/DenseCL-analysis
Correlation between Alignment-Uniformity and Performance of Dense Contrastive Representations (BMVC 22)
SuperSupermoon/mmodal_mixer
Final project in KAIST AI class.
SuperSupermoon/General-Domain-Dataset-download
ImageNet, COCO, Pascal VOC, Cityscapes, ADE20k, PASS, etc.
SuperSupermoon/GPU_TPU_usage
torch DDP, TPU, nsml (naver AI research env.), etc.
SuperSupermoon/BLIP
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
SuperSupermoon/coco-caption
Adds SPICE metric to coco-caption evaluation server codes
SuperSupermoon/DenseCL
Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.
SuperSupermoon/pytorch-estimate-flops
Estimate/count FLOPS for a given neural network using pytorch
SuperSupermoon/streamlit
SuperSupermoon/Transformer-Explainability
Official Pytorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
SuperSupermoon/Transformer-SSL
This is an official implementation for "Self-Supervised Learning with Swin Transformers".
SuperSupermoon/umls-streamlit
umls-streamlit