Name: Korean: 양호준 / English: Hojun, Yang
Type: User
Company: Hyundai-Autoever / Artificial Intelligence Technique Development
Bio: Birth: 1996.09.16 Bachelor Degree from Inha University (Computer Engineering) Master's Degree from Inha University (Electrical&Computer Engineering)
Location: South Korea
Blog: https://yanghojun.github.io/AboutMe
Korean: 양호준 / English: Hojun, Yang's Projects
Multiple samples showing the best practices in camera APIs on Android.
This sample has the full End2End process of creating RAG application with Prompt Flow and AI Studio. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.
ImageToSTL
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
온보딩 미션을 진행하는 저장소
Automagic fan control for the Nvidia Jetson Nano
It's gonna be my deeplearning weapon
Official PyTorch implementation of the paper “LCCNet: Lidar and Camera Self-Calibration usingCost Volume Network”.
Open MMLab Detection Toolbox and Benchmark
For practicing of how to use git
Examples for using ONNX Runtime for machine learning inferencing.
Developing Realtime-TextDetection algorithm to embed on Jetson Nano
Switch the rootfs to a NVMe SSD on the Jetson Xavier NX and Jetson AGX Xavier
This Repository is a submodule of yolov5 of Mix_Yolo_OCR
Structural Pruning for Model Acceleration
Image augmentation for machine learning experiments.