HyunKyungHan

HyunKyungHan's Stars

• roboflow/supervision

  We write your reusable computer vision tools. 💜

  Language:Python24.3k1624421.8k

• jbhuang0604/awesome-computer-vision

  A curated list of awesome computer vision resources

  21.1k1.2k264.3k

• NVIDIA/DeepLearningExamples

  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  Language:Jupyter Notebook13.6k2968463.2k

• leptonai/search_with_lepton

  Building a quick conversation-based search demo with Lepton AI.

  Language:TypeScript7.9k55671k

• xingyizhou/CenterNet

  Object detection, 3D detection, and pose estimation using center point detection:

  Language:Python7.3k1131k1.9k

• CompVis/taming-transformers

  Taming Transformers for High-Resolution Image Synthesis

  Language:Jupyter Notebook5.8k752211.2k

• clovaai/deep-text-recognition-benchmark

  Text recognition (optical character recognition) with deep learning methods, ICCV 2019

  Language:Jupyter Notebook3.8k843911.1k

• dvlab-research/MGM

  Official repo for "Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models"

  Language:Python3.2k28132280

• wolny/pytorch-3dunet

  3D U-Net model for volumetric semantic segmentation written in pytorch

  Language:Jupyter Notebook2k360509

• amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging

  Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

  1.6k389149

• Project-MONAI/research-contributions

  Implementations of recent research prototypes/demonstrations using MONAI.

  Language:Python1k14203336

• WangYueFt/detr3d

  Language:Python7962070155

• ipodtouch0218/NSMB-MarioVsLuigi

  Standalone Unity remake of New Super Mario Bros DS' multiplayer gamemode, "Mario vs Luigi"

  Language:C#68134134301

• acids-ircam/diffusion_models

  A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch

  Language:Jupyter Notebook64910873

• ssut/py-hanspell

  파이썬 한글 맞춤법 검사 라이브러리. (네이버 맞춤법 검사기 사용)

  Language:Python333739120

• PyMVPA/PyMVPA

  MultiVariate Pattern Analysis in Python

  Language:Python31336280135

• nipy/nitime

  Timeseries analysis for neuroscience data

  Language:Python244328383

• MrGiovanni/AbdomenAtlas

  [NeurIPS 2023] AbdomenAtlas 1.0 (5,195 CT volumes + 9 annotated classes)

  Language:Python2197916

• gakkiri/simple-centernet-pytorch

  This is just a simple implementation of "CenterNet:Objects as Points"

  Language:Python802815

• clovaai/PointWSSIS

  [CVPR2023] The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation

  Language:Python54664

• bwittmann/transoar

  A 3D medical Detection Transformer library. Papers accepted @ MIDL22 & MELBA23/02.

  Language:Python52406

• aghdamamir/3D-UNet

  A pytorch implementation of 3D UNet for 3D MRI Segmentation.

  Language:Python472611

• hongweilibran/wmh_ibbmTum

  winning method for WMH segmentation challenge in MICCAI 2017

  Language:Python4711317

• KibromBerihu/ai4elife

  This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [18]F-FDG PET/CT images.

  Language:Python323310

• thomaskuestner/CNNArt

  Automatic and reference-free MR artifact detection

  Language:Python2585917

• MICV-yonsei/CT2MRI

  [MICCAI 2024 Early Acceptance] Official Pytorch Code for Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model

  18150

• qurit-frizi/TMTV-Net

  This repository employs a deep-learning method for the automated segmentation of total metabolic tumor volume (TMTV) in whole-body [18]F-FDG PET/CT images, with an emphasis on multi-center generalizability.

  Language:Python15445

• Alimustoofaa/EasyOCRLabel

  Language:Python10222

• FourierX9/wmh_ibbmTum

  winning method for WMH segmentation challenge in MICCAI 2017

  Language:Python8003

• bthyreau/deep-T1-WMH

  White Matter Hypointensities segmentation for T1-weighted MRI images

  Language:Python30