MOONJOOYOUNG

Deep-learning-Uncertainty-papers

Uncertainty in Deep Learning Papers

pytorch_imagenet_multiprocessing-distributed

pytorch_imagenet_multiprocessing-distributed

DataScience

project

AdamP

Slowing Down the Weight Norm Increase in Momentum-based Optimizers

Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

confidence_estimation

Learning Confidence for Out-of-Distribution Detection in Neural Networks

CutMix-PyTorch

Official Pytorch implementation of CutMix regularizer

Data-Analytics

deep_learning_study

A curated list of Deep Learning

deep_Mahalanobis_detector

Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

DeepLearning

deeplearning_codes

utils_code

Dockerfile

fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

FixRes

This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

Imbalance

kakaoplus2

odin

A simple and effective method for detecting out-of-distribution images in neural networks.

pytorch_multiprocessing-distributed

seaborn-data

Data repository for seaborn examples

selfsupervised-denoising

High-Quality Self-Supervised Deep Image Denoising - Official TensorFlow implementation of the NeurIPS 2019 paper

tunit

Rethinking the Truly Unsupervised Image-to-Image Translation - Official PyTorch Implementation

yolo_training

YOLOv3-GradCAM

GradCAM algorithm implementation for YOLOv3