Pinned Repositories
BlogComment
K210_Yolo_framework
Yolo v3 framework base on tensorflow, support multiple models, multiple datasets, any number of output layers, any number of anchors, model prune, and portable model to K210 !
lisenjie757.github.io
我的个人主页
mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
MIT-6.5940-Labs
MIT 6.5904 Fall 2023 TinyML and Efficient Deep Learning Computing Labs
mmdetection
OpenMMLab Detection Toolbox and Benchmark
multi_robot_formation
NJUAI-Notes
人工智能专业笔记
Note
个人学习笔记和代码及资料收集，包括：机器学习，深度学习
TrashClassification
Real time, high accurary trash classification system with raspberrypi 4b
lisenjie757's Repositories
lisenjie757/lisenjie757.github.io
我的个人主页
lisenjie757/multi_robot_formation
lisenjie757/TrashClassification
Real time, high accurary trash classification system with raspberrypi 4b
lisenjie757/BlogComment
lisenjie757/MIT-6.5940-Labs
MIT 6.5904 Fall 2023 TinyML and Efficient Deep Learning Computing Labs
lisenjie757/Note
个人学习笔记和代码及资料收集，包括：机器学习，深度学习
lisenjie757/K210_Yolo_framework
Yolo v3 framework base on tensorflow, support multiple models, multiple datasets, any number of output layers, any number of anchors, model prune, and portable model to K210 !
lisenjie757/mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
lisenjie757/mmdetection
OpenMMLab Detection Toolbox and Benchmark
lisenjie757/NJUAI-Notes
人工智能专业笔记
lisenjie757/PyTorch_YOLO-Family
lisenjie757/PyTorch_YOLO_Tutorial
YOLO Tutorial