Sein's repositories
JEJU-DLCAMP
Location Aware Recommendation System using Relation Network
Extractive-Adversarial-Networks
Implementation of "Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts"
Deriving-Machine-Attention-from-Human-Rationales
About "Deriving-Machine-Attention-from-Human-Rationales"
a
Launch your Static Jekyll Site/Blog :rocket: in minutes built for developers.
awesome-RecSys-papers
The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
CycleGAN
Tensorflow 2.3 based implementation of CycelGAN
SRGAN
Tensorflow 2.1 based implementation of SRGAN
Best-README-Template
An awesome README template to jumpstart your projects!
easy_face_detection
Introduction of simple-to-use face detection models
Error-Encoding-Network
Implementation of Error-Encoding Network from "Prediction under uncertainty with Error-Encoding Network"
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
object_tracking
Face Analysis Library for Python
R2A
Deriving Machine Attention from Human Rationales
rcnn
Recurrent & convolutional neural network modules
Recommendation
About Recommendation
RecSys
To become a master of the Recommendation system
recsys19_hybridsvd
Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
Relation-Networks-for-Object-Detection
Relation Networks for Object Detection
Relation_Network
Tensorflow Implementation of Relation Network
RetinaFace-tf2
RetinaFace (RetinaFace: Single-stage Dense Face Localisation in the Wild, published in 2019) reimplemented in Tensorflow 2.0, with pretrained weights available !
Sein-Jang
Config files for my GitHub profile.
super-resolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Surprise
A Python scikit for building and analyzing recommender systems
tensorflow-generative-model-collections
Collection of generative models in Tensorflow
TRN-pytorch
Temporal Relation Networks