Pinned Repositories
-YOLO8-ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
AI_project
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
baesunny
camera_ObjectDetection
BITAmin project (#2nd. Computer Vision)
cloth_customization
BITAmin project (#1st. Recommendation System)
coding_test
DataAugmentationForObjectDetection
Data Augmentation For Object Detection
study_note
yolov8-object-tracking
YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics
baesunny's Repositories
baesunny/study_note
baesunny/-YOLO8-ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
baesunny/camera_ObjectDetection
BITAmin project (#2nd. Computer Vision)
baesunny/yolov8-object-tracking
YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics
baesunny/AI_project
baesunny/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
baesunny/baesunny
baesunny/cloth_customization
BITAmin project (#1st. Recommendation System)
baesunny/coding_test
baesunny/DataAugmentationForObjectDetection
Data Augmentation For Object Detection
baesunny/DLstudy_Code
Code about DeepLearning101 Book
baesunny/face-detection-yolov8
face-detection-yolov8
baesunny/Face-Mask-Detection
Detecting face masks using Python, Keras, OpenCV on real video streams
baesunny/fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
baesunny/KoOCR-tensorflow
Korean OCR based on tensorflow deep-learning.
baesunny/Korean-OCR-Model-Design-based-on-Keras-CNN
Korean OCR Model Design(한글 OCR 모델 설계)
baesunny/Project
baesunny/sm-kornlp-usecases
SageMaker-based fine-tuning and deployment hands-on example of a Korean NLP downstream task. Recommended for customers considering adopting NLP workloads on AWS.
baesunny/unilm_TrOCR
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
baesunny/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors