HJ0711's repositories
ADP
Python code for ADP test
cocoapi
Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3
DarkPose
Distribution-Aware Coordinate Representation for Human Pose Estimation
deep-learning-from-scratch
『밑바닥부터 시작하는 딥러닝』(한빛미디어, 2017)
Deep-SVDD-PyTorch
A PyTorch implementation of the Deep SVDD anomaly detection method
deep_gcns
Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
flutter_lamp
Lamp plugin for flutter
GAN-TTS
A pytroch implementation of the GAN-TTS: HIGH FIDELITY SPEECH SYNTHESIS WITH ADVERSARIAL NETWORKS
gtad
The official implementation of G-TAD: Sub-Graph Localization for Temporal Action Detection
handson-ml2
핸즈온 머신러닝 2/E의 주피터 노트북
human-pose-annotation-tool
Human Pose Annotation Tool
Instance-Segmentation-on-WBC-using-Mask-R_CNN
Using Matterport's Mask R-CNN to perform instance segmentation on WBC in blood samples and detect the 5 types of WBC.
kinetics_i3d_pytorch
Inflated i3d network with inception backbone, weights transfered from tensorflow
LMkor
Pretrained Language Models for Korean
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
motion-sense
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)
NLP-for-fake-news-detection
We consume news through several mediums throughout the day in our daily routine, but sometimes it becomes difficult to decide which one is fake and which one is authentic. Do you trust all the news you consume from online media? Every news that we consume is not real. If you listen to fake news it means you are collecting the wrong information from the world which can affect society because a person’s views or thoughts can change after consuming fake news which the user perceives to be true. Since all the news we encounter in our day-to-day life is not authentic, how do we categorize if the news is fake or real? In this article, we will focus on text-based news and try to build a model that will help us to identify if a piece of given news is fake or real. Before moving to the practical things let’s get aware of few terminologies. A sort of sensationalist reporting, counterfeit news embodies bits of information that might be lies and is, for the most part, spread through web-based media and other online media. This is regularly done to further or force certain kinds of thoughts or for false promotion of products and is frequently accomplished with political plans. Such news things may contain bogus and additionally misrepresented cases and may wind up being virtualized by calculations, and clients may wind up in a channel bubble.
openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
PGCN
Graph Convolutional Networks for Temporal Action Localization (ICCV2019)
pygcn
Graph Convolutional Networks in PyTorch
spektral
Graph Neural Networks with Keras and Tensorflow 2.
SUSTechPOINTS
3D Point Cloud Annotation Platform for Autonomous Driving
SVDD-Python
Python code for abnormal detection or fault detection using Support Vector Data Description (SVDD)
tabata_timer
A Tabata training interval timer written with Flutter.