Jeong Yup, Lee's Projects
Sequntial LSTM Autoencoder Adversarial Attack
Bubble-ball AI
COCO Format Bounding Box Dataset Integration
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
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detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
DNA sequencing algorithm for species identification
Merged Data for Korean Emotion Classification
Train Efficientnet image classification with Google's Lion Optimizer
This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
Adversarial Attacks on Deep Neural Networks for Time Series Classification
Naver movie review sentiment classification with KoBERT
KoBERT Emotion Classification for KoGPT2 chatbot
Korean GPT-2 pretrained cased (KoGPT2)
Korean GPT-2 pretrained cased (KoGPT2)
Simple Chit-Chat based on KoGPT2
Generate Synthetic Korea License Plate.
Korean cars licence plate detection and recognition using Keras. Complete Guide and Tutorials
log anomaly detection via BERT
LSTMS for Predictive Maintenance
Modify a single csv result created with makeense to coco format.
This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).