nuaaceieyty's repositories

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Contrib

contribution works with PaddlePaddle from the third party developers

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EfficientDet

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

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embeddedsw

Xilinx Embedded Software (embeddedsw) Development

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keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

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lantern

Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 lantern proxy vpn censorship-circumvention censorship gfw accelerator

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Machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!

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Machine_Learning

周志华《机器学习》阅读笔记

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Object-Detection_MobileNetv3-EfficientDet-YOLO

Object Detection models: EfficientDet (SOTA), MobileNetv3 and YOLO using OpenCV and TensorFlow

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onnx

Open standard for machine learning interoperability

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opencv

Open Source Computer Vision Library

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optimizer

Actively maintained ONNX Optimizer

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PaddleDetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

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ros-yolo-sort

YOLO v3 + SORT tracking + ROS platform, SORT supports python(original) and C++. Not Deep SORT

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YOLOv3-Object-Tracking

Object tracking with YOLOv3, YOLOv3-tiny, Deep Sort and Tensorflow. This repository implements YOLOv3 and Deep SORT in order to perfrom real-time object tracking.

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yolov3_deepsort

Object tracking implemented with YOLOv3, Deep Sort and Tensorflow.

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yolov4-deepsort

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

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YOLOv4_tensorflow

implement yolov4 with pure tensorflow and you can training net on your own dataset. YOLOv4的纯tensorflow实现,可训练自己的模型.

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yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

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Yolov5_DeepSort_Pytorch

Real-time multi-person tracker using YOLO v5 and deep sort

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Yolov5_tf

Yolov5/Yolov4/ Yolov3/ Yolo_tiny in tensorflow

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