Yongwoo Kim's repositories
a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
a-PyTorch-Tutorial-to-Super-Resolution
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
DASR
Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"
ddfnet
The official implementation of the CVPR2021 paper: Decoupled Dynamic Filter Networks
developer-roadmap
Roadmap to becoming a web developer in 2021
downloadManuals
젯슨나노를 위한 다운로드용 설치매뉴얼 텍스트파일(.txt)입니다.
DPI_Tutorial
SystemVerilog Direct Programming Interface (DPI) Tutorial
FastMOT
High-performance multiple object tracking based on YOLOv3/v4, Deep SORT, and optical flow
FTDI-245fifo-interface
FPGA-based USB fast communication using FT232H/FT600 chip.
HRankPlus
An extension version of our CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map
integer-MPA-coprocessor
Open-Source Coprocessor for Integer Multiple Precision Arithmetic
KAIR
Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, ESRGAN
mmdetection-to-tensorrt
convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.
mobile-yolov5-pruning-distillation
mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！
OnlineJudgeFE
교원대학교 온라인 저지
RepVGG
RepVGG: Making VGG-style ConvNets Great Again
riscv-simple
Computer architecture learning environment using FPGAs
riscv-simple-sv
A simple RISC V core for teaching
sparq
Post-training sparsity-aware quantization
Studies
C++ Korea에서 개최한 스터디들의 발표 자료와 예제 코드를 모아둔 저장소
tensorRT
TensorRT-7 Network Lib 包括常用目标检测、关键点检测、人脸检测、OCR等 可训练自己数据
TQT
TQT's pytorch implementation.
Vegita
배추 가격 예측 AI 로봇
vivado-risc-v
Xilinx Vivado block designs for FPGA RISC-V SoC running Debian Linux distro
yolo-tensorrt
Support Yolov5s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
YOLOv3v4-ModelCompression-MultidatasetTraining-Multibackbone
YOLO ModelCompression MultidatasetTraining
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite