Pinned Repositories
Aggregation-Cross-Entropy
Aggregation Cross-Entropy for Sequence Recognition. CVPR 2019.
angular-js-practice
Augmentor
Image augmentation library in Python for machine learning.
capsule-networks
A Tensorflow(v1.4) implementation of Capsule Networks (Dynamic Routing Between Capsules , https://arxiv.org/abs/1710.09829)
CRAFT-pytorch
Official implementation of Character Region Awareness for Text Detection (CRAFT)
cyclic-learning-rate
Cyclic learning rate TensorFlow implementation.
fast-autoaugment-efficientnet-pytorch
A Pytorch implementation of Fast AutoAugment and EfficientNet
junyeoplee.github.io
Single page resume page (http://sampleresumetemplate.net/)
Keeping
OCR_DATASET
JunYeopLee's Repositories
JunYeopLee/capsule-networks
A Tensorflow(v1.4) implementation of Capsule Networks (Dynamic Routing Between Capsules , https://arxiv.org/abs/1710.09829)
JunYeopLee/fast-autoaugment-efficientnet-pytorch
A Pytorch implementation of Fast AutoAugment and EfficientNet
JunYeopLee/junyeoplee.github.io
Single page resume page (http://sampleresumetemplate.net/)
JunYeopLee/OCR_DATASET
JunYeopLee/Aggregation-Cross-Entropy
Aggregation Cross-Entropy for Sequence Recognition. CVPR 2019.
JunYeopLee/angular-js-practice
JunYeopLee/Augmentor
Image augmentation library in Python for machine learning.
JunYeopLee/CRAFT-pytorch
Official implementation of Character Region Awareness for Text Detection (CRAFT)
JunYeopLee/cyclic-learning-rate
Cyclic learning rate TensorFlow implementation.
JunYeopLee/example-frontend-vue-js
An example of a Sanity powered frontend using Vue.js
JunYeopLee/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
JunYeopLee/focal_loss_pytorch
A PyTorch Implementation of Focal Loss.
JunYeopLee/fullstack-course5
All of the source code for the Single Page Web Applications with AngularJS course.
JunYeopLee/gitignore
A collection of useful .gitignore templates
JunYeopLee/GRCNN-for-OCR
This is the implementation of the paper "Gated Recurrent Convolution Neural Network for OCR"
JunYeopLee/ICDAR2019_cTDaR
The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.
JunYeopLee/models
Models and examples built with TensorFlow
JunYeopLee/paper_helper
JunYeopLee/python-vimrc
VIM Configuration for Python / Cython / C Development
JunYeopLee/SageMakerActions
JunYeopLee/tensorflow-kr
tensorflow.org 문서 번역 레파지토리
JunYeopLee/tf-detectors
Deep-Learning Based Detection Models for Practical Usages implemented in Tensorflow.
JunYeopLee/tiptap
A renderless rich-text editor for Vue.js
JunYeopLee/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
JunYeopLee/vimrc
The ultimate Vim configuration: vimrc
JunYeopLee/vue-tiptap
Example of using tiptap as a Vue component without being completely renderless
JunYeopLee/vue-transmit
Vue.js drag & drop uploader based on Dropzone.js
JunYeopLee/vuejs.org
📄 The official documentation site for Vue.js.
JunYeopLee/vuetify
🐉 Material Component Framework for Vue
JunYeopLee/wait-for-it
Pure bash script to test and wait on the availability of a TCP host and port