jeonggunlee
Professor / School of Software, Hallym University
Hallym UniversityChuncheon, Gangwon, South Korea
jeonggunlee's Stars
keon/algorithms
Minimal examples of data structures and algorithms in Python
rbgirshick/py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
qqwweee/keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
r0f1/datascience
Curated list of Python resources for data science.
doonny/PipeCNN
An OpenCL-based FPGA Accelerator for Convolutional Neural Networks
Xilinx/BNN-PYNQ
Quantized Neural Networks (QNNs) on PYNQ
ZidanMusk/experimenting-with-sort
Experimenting with sort different classical tracking algorithms for real time multiple object tracking (MOT)
hsharma35/dnnweaver2
Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.
hccho2/Tacotron2-Wavenet-Korean-TTS
Korean TTS, Tacotron2, Wavenet
StefanSredojevic/Deep-Neural-Network-Hardware-Accelerator
SystemVerilog HDL and TB code Deep Neural Network Hardware Accelerator implementation on zybo 7010 FPGA and also C code for Vivado SDK Software
ukayzm/opencv
Practice OpenCV and TensorFlow
Jeongah-Shin/gdg-mlkit-codelabs
Tensorflow Dev Summit Extended Seoul - ML Kit Codelabs
JeongMyeong/HallymPythonMentoring
parimalp/System-Design-on-Zynq-using-SDSoC
jjxxmiin/People_counting_yolo
yolo를 이용한 people counting
jeonggunlee/OpenSourceKeras
dalek7/RaspberryPi
jjxxmiin/CenterNet_tensorflow
CenterNet implement using tensorflow
aiaccel-lab/People_counting_yolo
yolo를 이용한 people counting
dalek7/Undergrad-SmartToy-2019Spring
JeongMyeong/Resume
dalek7/Undergrad-3DInteraction-2019Spring
dalek7/Undergrad-DeepLearning-18Fall
dongyyyyy/KimJinAlgorithm
Hallym-OpenSourceSW/hallymProject
jeonggunlee/People_counting_yolo
yolo를 이용한 people counting
jeonggunlee/PythonMentoring
for Python Mentoring
JeongMyeong/keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
KIMDOKYOUNG/C-Programming
Hallym University C Programming class
YunheeWoo/PANet
PANet for Instance Segmentation and Object Detection