Pinned Repositories
a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
angular2-token
:key: Token based authentication service for Angular with multi-user support. Works best with the devise token auth gem for Rails.
anonymize-slide
Delete the label from a whole-slide image
awesome-nonsan
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awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
gethttpsforfree
Source code for https://gethttpsforfree.com/
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
lee-hongseok's Repositories
lee-hongseok/gethttpsforfree
Source code for https://gethttpsforfree.com/
lee-hongseok/a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
lee-hongseok/anonymize-slide
Delete the label from a whole-slide image
lee-hongseok/awesome-nonsan
π« λ Όμ° μ‘κ΅°νλ ¨μμ λν μ 보μ ν
lee-hongseok/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
lee-hongseok/BCDU-Net
BCDU-Net : Medical Image Segmentation
lee-hongseok/deepcaps
Official Implementation of "DeepCaps: Going Deeper with Capsule Networks" paper (CVPR 2019).
lee-hongseok/DJPEG
lee-hongseok/dotfiles
:house: Personal dotfiles for *NIX systems
lee-hongseok/jupyterlab-vim
:neckbeard: Vim notebook cell bindings for JupyterLab
lee-hongseok/korail2
Korail (www.letskorail.com) wrapper for Python.
lee-hongseok/label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
lee-hongseok/label-studio-frontend
Data labeling react app that is backend agnostic and can be embedded into your applications β distributed as an NPM package
lee-hongseok/labelImg
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
lee-hongseok/lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. β‘π₯β‘
lee-hongseok/LMkor
Pretrained Language Models for Korean
lee-hongseok/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
lee-hongseok/NAVER-Teck-Talk
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lee-hongseok/Open-Grants-Program
Web3 Foundation Open Grants Program
lee-hongseok/openslide-python
Python bindings to OpenSlide
lee-hongseok/OpenWorm
Project Home repo for Central Dockerfile and Project-wide issues
lee-hongseok/plexo
Online tool for annotating medical images
lee-hongseok/pma_python
Python wrapper library for PMA.start, a universal viewier for whole slide imaging and microscopy
lee-hongseok/popeval
lee-hongseok/popeval-1
lee-hongseok/pr12
Youtube Deep Learning Presentation
lee-hongseok/tf-explain
Interpretability Methods for tf.keras models with Tensorflow 2.0
lee-hongseok/ubuntu-tensorflow-gpu-all-versions
How to really install tensorflow-gpu from source on a clean instance of Ubuntu
lee-hongseok/vimrc
The ultimate Vim configuration (vimrc)
lee-hongseok/web3-provider-engine
A JavaScript library for composing Ethereum provider objects using middleware modules