jeonggunlee
Professor / School of Software, Hallym University
Hallym UniversityChuncheon, Gangwon, South Korea
Pinned Repositories
computer_arch
한림대학교 컴퓨터 구조 교과목 페이지 (Computer Architecture Course Page at Hallym)
CUDATeaching
CUDA based GPU Programming
DeepLearningBasics
2020년 1월 딥러닝 교육 실습 예제
faceid
Face Detection and Identification for Smart Toy: Geomex Soft.
LogicDesign
논리 회로 및 실험: 2024 봄학기, 한림대학교 소프트웨어융합대학
MichinLearning
neuralNetwork
OpenSourceKeras
Parallel_Programming
Parallel Programming with CUDA @ Hallym University, 2019
Vision-Transformer-Study
Vision Transformer Study
jeonggunlee's Repositories
jeonggunlee/Parallel_Programming
Parallel Programming with CUDA @ Hallym University, 2019
jeonggunlee/ca_seminar
Computer Architecture Seminar (Graduate Course) @ Hallym University
jeonggunlee/BigDataCapstone
Big Data Capstone Project (아자!)
jeonggunlee/jetsonBoard
jeonggunlee/Parallel_Prog2019
Parallel Programming for Graduates @ Hallym University
jeonggunlee/firesim-nvdla
FireSim-NVDLA: NVIDIA Deep Learning Accelerator (NVDLA) Integrated with RISC-V Rocket Chip SoC Running on the Amazon FPGA Cloud
jeonggunlee/Multitarget-tracker
Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
jeonggunlee/PythonMentoring
for Python Mentoring
jeonggunlee/2019-Winter-HGU-Machine-Learing-Camp
2019년 겨울 한동머신러닝캠프 강의 자료 및 강의 동영상 (강사: 한동대 전산전자공학부 김인중 교수)
jeonggunlee/algorithms
Minimal examples of data structures and algorithms in Python
jeonggunlee/chainercv
ChainerCV: a Library for Deep Learning in Computer Vision
jeonggunlee/CPU-on-Vivado-HLS
A simple MIPS-like CPU demo in C++ for Xilinx Vivado HLS
jeonggunlee/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
jeonggunlee/EEG_classification
EEG Sleep stage classification using CNN with Keras
jeonggunlee/fpga_image_processing
IP operations in verilog (simulation and implementation on ice40)
jeonggunlee/hallymProject
jeonggunlee/Image-Convolution-using-CUDA
Analyzes and implements image convolution operation using CUDA. Compares performance achieved on CPU and GPU.
jeonggunlee/jetson-inference
Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
jeonggunlee/keras-attention
Visualizing RNNs using the attention mechanism
jeonggunlee/keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
jeonggunlee/KerasObjectDetector
Keras Object Detection API with YOLK project 🍳
jeonggunlee/NeuralPower
The code for paper: Neuralpower: Predict and deploy energy-efficient convolutional neural networks
jeonggunlee/OpenVINO-YoloV3
YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO
jeonggunlee/QNN-MO-PYNQ
jeonggunlee/Resume
jeonggunlee/TelloPy
DJI Tello drone controller python package
jeonggunlee/Test
jeonggunlee/yolo_v3-tensorflow-ipynb
This repository shows how to deploy YOLO object detection algorithm in tensorflow using python version 3, specifically in Jupyter Notebook.
jeonggunlee/yolov3-tf2
YoloV3 Implemented in Tensorflow 2.0
jeonggunlee/YOLOv3_TensorFlow_GoodToSee
Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.