Deok Joong Lee's repositories
Molecular-team-study
Molecular-team-study
MLP_Mixer_code_review
MLP-Mixer code review
PyTorch-Radial-Basis-Function-Layer
An implementation of an RBF layer/module using PyTorch.
XAI611_mid-term-project
autism spectrum disorder classification with multi site dataset
absf123.github.io
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
baseOfDeeplearning_3
making custom framework
Brain_tumor
์ ๊ฒฝ๋ง ์์ฉ ๋ฐ ์ค์ต ํ๋ก์ ํธ
Lovely-knowledge-distillation-paper-list
knowledge distillation paper list (focusing graph neural network)
algo_study
Algorithm study code base
AmalgamateGNN.PyTorch
PyTorch implementation of AmalgamateGNN (CVPR'21)
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
awesome-source-free-test-time-adaptation
A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
BCI-ToolBox
Deep Learning pipeline for motor-imagery classification.
best-of-ml-python
๐ A ranked list of awesome machine learning Python libraries. Updated weekly.
BrainGB
Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
IBGNN
MICCAI 2022 (Oral): Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
knowledge-distillation-pytorch
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
ml-from-scratch-1
All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.
practical-ai-for-doctors
DevDoctors - ์์ฌ๋ฅผ ์ํ ์ค์ AI
segmenter
[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Swin-Transformer-Semantic-Segmentation
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
Uni-Mol
Official Repository for the Uni-Mol Series Methods