Hoseong Lee (hoya012)

hoya012

Geek Repo

Company:Cognex Deep Learning Lab

Location:Seoul, Korea

Home Page:https://hoya012.github.io/

Github PK Tool:Github PK Tool

Hoseong Lee's repositories

deep_learning_object_detection

A paper list of object detection using deep learning.

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

CVPR-2019-Paper-Statistics

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

Language:Jupyter NotebookStargazers:533Issues:19Issues:3

semantic-segmentation-tutorial-pytorch

A simple PyTorch codebase for semantic segmentation using Cityscapes.

Language:Jupyter NotebookLicense:MITStargazers:193Issues:6Issues:2

carrier-of-tricks-for-classification-pytorch

carrier of tricks for image classification tutorials using pytorch.

Language:PythonLicense:MITStargazers:101Issues:7Issues:0

automatic-mixed-precision-tutorials-pytorch

Automatic Mixed Precision Tutorials using pytorch. Based on PyTorch 1.6 Official Features, implement classification codebase using custom dataset.

Language:PythonLicense:MITStargazers:85Issues:6Issues:2

CVPR-2021-Paper-Statistics

Statistics and Visualization of acceptance rate, main keyword of CVPR 2021 accepted papers for the main Computer Vision conference (CVPR)

Language:Jupyter NotebookStargazers:80Issues:4Issues:1

ICCV-2019-Paper-Statistics

Statistics and Visualization of acceptance rate, main keyword of ICCV 2019 accepted papers for the main Computer Vision conference (ICCV)

Language:Jupyter NotebookStargazers:56Issues:4Issues:0

CVPR-2020-Paper-Statistics

Statistics and Visualization of acceptance rate, main keyword of CVPR 2020 accepted papers for the main Computer Vision conference (CVPR)

Language:Jupyter NotebookStargazers:33Issues:5Issues:1

swa-tutorials-pytorch

Stochastic Weight Averaging Tutorials using pytorch.

Language:PythonLicense:MITStargazers:33Issues:3Issues:2

fast-style-transfer-tutorial-pytorch

Simple Tutorials & Code Implementation of fast-style-transfer(Perceptual Losses for Real-Time Style Transfer and Super-Resolution, 2016 ECCV) using PyTorch.

Language:Jupyter NotebookStargazers:19Issues:3Issues:0

NeurIPS-2020-Paper-Statistics

Statistics and Visualization of acceptance rate, main keyword of NeurIPS 2020 accepted papers

Language:Jupyter NotebookStargazers:17Issues:2Issues:0

pytorch-Xception

Simple Code Implementation of "Xception" architecture using PyTorch.

Language:Jupyter NotebookStargazers:15Issues:2Issues:0
Language:CSSLicense:MITStargazers:11Issues:1Issues:0

pytorch-peleenet

Simple Code Implementation of "PeleeNet" architecture in "Pelee Paper" using PyTorch.

Language:Jupyter NotebookStargazers:11Issues:3Issues:0

NeurIPS-2019-Paper-Statistics

Statistics and Visualization of acceptance rate, main keyword of NeurIPS 2019 accepted papers

Language:Jupyter NotebookStargazers:9Issues:2Issues:0

pytorch-MobileNet

Simple Code Implementation of "MobileNet" architecture using PyTorch.

Language:Jupyter NotebookStargazers:8Issues:2Issues:2

shake-shake-tensorflow

Simple Code Implementation of "Shake-Shake Regularization using TensorFlow.

Language:PythonStargazers:7Issues:3Issues:0

CVPR-2023-Paper-Statistics

Statistics and Visualization of acceptance rate, main keyword of CVPR 2023 accepted papers for the main Computer Vision conference (CVPR)

Language:Jupyter NotebookStargazers:6Issues:0Issues:0

pytorch-densenet

Simple Code Implementation of "DenseNet" architecture using PyTorch.

Language:Jupyter NotebookStargazers:5Issues:3Issues:0

AAAI-2020-Paper-Statistics

Statistics and Visualization of acceptance rate, main keyword of AAAI 2020 accepted papers

Language:Jupyter NotebookStargazers:4Issues:2Issues:0

CVPR-2022-Paper-Statistics

Statistics and Visualization of acceptance rate, main keyword of CVPR 2022 accepted papers for the main Computer Vision conference (CVPR)

Language:Jupyter NotebookStargazers:3Issues:0Issues:0

Machine-Learning-Yearning-Korean-Translation

Korean translation of machine learning yearning book by Andrew Ng.

pytorch_practice

A code list of practice using PyTorch

Language:Jupyter NotebookStargazers:2Issues:2Issues:0

fixmatch

A simple method to perform semi-supervised learning with limited data.

Language:PythonLicense:Apache-2.0Stargazers:1Issues:3Issues:0

glue-factory

Training library for local feature detection and matching

License:Apache-2.0Stargazers:0Issues:0Issues:0

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

Language:PythonLicense:NOASSERTIONStargazers:0Issues:3Issues:0

pytorch-partial-conv-based-padding

Simple Code Implementation of "Partial Convolution based Padding" with ResNet architecture using PyTorch.

Language:Jupyter NotebookStargazers:0Issues:2Issues:0