Gyeongbo Sim (asdf2kr)

asdf2kr

Geek Repo

Company:NCSOFT

Github PK Tool:Github PK Tool

Gyeongbo Sim's repositories

BAM-CBAM-pytorch

Pytorch implementation of BAM("BAM: Bottleneck Attention Module", BMVC18) and CBAM(“CBAM: Convolutional Block Attention Module”, ECCV18)

Language:PythonLicense:MITStargazers:31Issues:0Issues:0

SENet-pytorch

Pytorch implementation of SENet("Squeeze-and-Excitation Networks", cvpr18)

Language:PythonLicense:MITStargazers:7Issues:3Issues:0

GAN-pytorch

Pytorch implementation of GAN("Generative Adversarial Nets", NIPS2014)

Language:PythonLicense:MITStargazers:1Issues:2Issues:0

ImageClassification-pytorch

This code purpose to evaluate of popular model architectures, such as ResNet, VGG on the ImageNet dataset.

Language:PythonLicense:MITStargazers:1Issues:0Issues:0
Language:PythonStargazers:0Issues:1Issues:0

Awesome-Multi-Task-Learning

A list of multi-task learning papers and projects.

Stargazers:0Issues:0Issues:0

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

Stargazers:0Issues:0Issues:0

bert

TensorFlow code and pre-trained models for BERT

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

COCO-Assistant

Helper for dealing with MS-COCO annotations

License:MITStargazers:0Issues:0Issues:0

convert2YOLO

The purpose of this code is to convert from object detection datasets to YOLO format.

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

License:NOASSERTIONStargazers:0Issues:0Issues:0

deep-active-learning-pytorch

A PyTorch toolkit with 8 popular deep active learning query methods implemented.

License:MITStargazers:0Issues:0Issues:0

DEKR

This is an official implementation of our CVPR 2021 paper "Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression" (https://arxiv.org/abs/2104.02300)

License:MITStargazers:0Issues:0Issues:0

detr

End-to-End Object Detection with Transformers

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

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

License:NOASSERTIONStargazers:0Issues:0Issues:0

imgaug

Image augmentation for machine learning experiments.

License:MITStargazers:0Issues:0Issues:0

kapao

KAPAO is a state-of-the-art single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.

Language:PythonLicense:GPL-3.0Stargazers:0Issues:0Issues:0
License:MITStargazers:0Issues:0Issues:0

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

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

MOS-Multi-Task-Face-Detect

Code for BMVC2021 "MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation"

License:MITStargazers:0Issues:0Issues:0

mtan

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

License:MITStargazers:0Issues:0Issues:0

object_detection

Implementation of Yolo-v3 & ssd

Language:PythonStargazers:0Issues:0Issues:0

PE-former

2D Human Pose estimation using transformers. Implementation in Pytorch

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

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

License:MITStargazers:0Issues:0Issues:0

pytorch-YOLOv4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

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

SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

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

SOLQ

"SOLQ: Segmenting Objects by Learning Queries", SOLQ is an end-to-end instance segmentation framework with Transformer.

License:NOASSERTIONStargazers:0Issues:0Issues:0

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

License:MITStargazers:0Issues:0Issues:0

surreal

Learning from Synthetic Humans, CVPR 2017

License:NOASSERTIONStargazers:0Issues:0Issues:0

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

License:MITStargazers:0Issues:0Issues:0