Pinned Repositories
3d-shapes
This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.
Anomaly-Detection-with-GAN
Steel defect detection intern project in PIRL(Postech information Research Laboratories)
deeplab-pytorch
PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Human-Recognition-Using-Gait-and-Ear
Human Recognition Using Gait and Ear with SVM, CNN project in PIRL(Postech information Research Laboratories)
MoANA
Non-Local-Block-PyTorch
Self Attention techniques commonly used in GAN based applications
pytorch-tutorial-1
tutorial for researchers to learn deep learning with pytorch
vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
MoANA
Pytorch implementation of "MoANA: Module of Axis-based Nexus Attention for Weakly Supervised Object Localization and Semantic Segmentation"
JunghyoSohn's Repositories
JunghyoSohn/Anomaly-Detection-with-GAN
Steel defect detection intern project in PIRL(Postech information Research Laboratories)
JunghyoSohn/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
JunghyoSohn/Human-Recognition-Using-Gait-and-Ear
Human Recognition Using Gait and Ear with SVM, CNN project in PIRL(Postech information Research Laboratories)
JunghyoSohn/3d-shapes
This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.
JunghyoSohn/deeplab-pytorch
PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC
JunghyoSohn/MoANA
JunghyoSohn/Non-Local-Block-PyTorch
Self Attention techniques commonly used in GAN based applications
JunghyoSohn/pytorch-tutorial-1
tutorial for researchers to learn deep learning with pytorch
JunghyoSohn/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.