Stars
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
A ~9M parameter LLM that talks like a small fish.
한국인을 위한 스킬 모음집 - SRT, KTX, 카카오톡, 한글과컴퓨터, 날씨, 미세먼지, 법령, 주식정보, 조선왕조실록, KBO, K-리그, LCK, 특허 검색, 토스 증권, 맞춤법 검사, 중고차 가격, 쿠팡, 네이버 블로그, 다이소, 올리브영, 택배 송장 조회 등등...
Turn a MacBook into a Touchscreen with $1 of Hardware
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
CLI tool that turns natural language into shell commands via LLM
The Ziium programming language: a Korean, message-oriented language implemented in Rust.
Fastest, smallest, and fully autonomous AI assistant infrastructure written in Zig
macOS NFD/NFC filename converter with TUI, CLI, and background watcher
code for "Triad: Vision Foundation Model for 3D Magnetic Resonance Imaging"
Versor: Stop Projecting, Start Rotating. GBN (Geometric Blade Network)
The official Tensorflow implementation of the paper "Learning Unified Hyper-network for Multi-modal MR Image Synthesis and Tumor Segmentation with Missing Modalities" in TMI 2023.
No Modality Left Behind: Adapting to Missing Modalities via Knowledge Distillation for Brain Tumor Segmentation.
Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training
A comprehensive review of techniques to address the missing-modality problem for medical images
Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation
A user-guided tool for semi-automated cerebral microbleed detection, labelling, and volume segmentation
Gradient Reversal Layer for Domain Adaptation
Adaptive Latent Diffusion Model for 3D Medical Image
Source code of weakly supervised test time domain adaptation
[ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept data
Winning solution for CryoET object identification challenge
A 3D bounding box detection model for medical data.
Automated characterisation of CMBs using size and spatial count