Jaewoong's repositories
wafer-map-active-learning
Implementation of "Active Learning of Convolutional Neural Network for Cost-effective Wafer Map Pattern Classification".
active-testing
Active and Sample-Efficient Model Evaluation
BatchBALD
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
CCSA_PyTorch
PyTorch implementation of CCSA("Unified Deep Supervised Domain Adaptation and Generalization")
cwcf
Source code for paper Classification with Costly Features using Deep Reinforcement Learning.
dagmm
My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
DANN
pytorch implementation of Domain-Adversarial Training of Neural Networks
dcbrain
dcbrain
Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
deep-learning-specialization-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Deep-SVDD-PyTorch
A PyTorch implementation of the Deep SVDD anomaly detection method
deeplearning.ai
Some work of Andrew Ng's course on Coursera
dl_tutorial
Tutorials for deep learning
eif
Extended Isolation Forest for Anomaly Detection
fsdl-text-recognizer-2021-labs
Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
GOAD
Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.
GraphDataset
Water System Industrial Network Dataset
LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier
mixed-segdec-net-comind2021
Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"
pretrain-gnns
Strategies for Pre-training Graph Neural Networks
pytorch-template
PyTorch deep learning projects made easy.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
selectivenet
code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"
TensorFlow-Tutorials
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다