Name: Jeong-Gun Lee
Type: User
Company: Hallym University
Bio: Professor / School of Software,
Hallym University
Location: Chuncheon, Gangwon, South Korea
Blog: https://sites.google.com/site/embeddedsochallymuniv/
Jeong-Gun Lee's Projects
Samples for Multi GPUs in TensorFlow
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)
Deep Learning and Reinforcement Learning Library for Scientists 🔥
Unstructured Data Analysis (Graduate) @Korea University
PyTorch layer-by-layer model profiler
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Parallel Programming
Verilog Generator of Neural Net Digit Detector for FPGA
Veriloggen: A library for constructing a Verilog HDL source code in Python
Vision Transformer Study
Let's train vision transformers for cifar 10!
Deep Learning Visualization Tools Using PyTorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
Vitis_Accel_Examples
Source codes for High Level Synthesis for Fixed Progammable Gate Arrays (FPGAs). Can be converted to RTL using Vivado HLS or SDSoC.
[Club House] Weekly Arxiv Casual Talk
Xen inter-domain shared memory and high speed communication project
YASA (Yet Another Spindle Algorithm) : fast and robust detection of spindles, slow-waves, and REMs from sleep EEG recordings.
Light version of convolutional neural network Yolo v3 & v2 for objects detection with a minimum of dependencies
A Python wrapper on Darknet. Compatible with YOLO V3.
A demo for accelerating YOLOv2 in xilinx's fpga pynq/zedboard
YoloV3 Implemented in Tensorflow 2.0
Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.