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YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Python 50,881 16,380 Updated Nov 8, 2024

Library for Object Detection with the Point Cloud Library (PCL)

C++ 4 4 Updated Sep 3, 2016

点云测体积Demo:用Kinect+PCL点云库测量方体体积。

C++ 167 45 Updated Aug 31, 2019

全网识别准确度最高的中国大陆收货地址智能解析

JavaScript 738 131 Updated Oct 27, 2023

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

Python 2,917 963 Updated Aug 13, 2019

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

C 21,764 7,963 Updated Nov 6, 2024

Best Practices, code samples, and documentation for Computer Vision.

Jupyter Notebook 9,536 1,181 Updated Feb 16, 2024

A PyTorch Implementation of Single Shot MultiBox Detector

Python 5,146 1,745 Updated Dec 29, 2021

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

Python 8,126 4,111 Updated Nov 7, 2019

A PyTorch implementation of the YOLO v3 object detection algorithm

Python 3,304 1,057 Updated Jan 16, 2024

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!

7,337 1,873 Updated Feb 26, 2022

Implementation of Single Shot MultiBox Detector in TensorFlow, to detect and classify traffic signs

Python 530 222 Updated Nov 2, 2021

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Python 38,318 7,324 Updated Nov 27, 2022

《Pytorch模型训练实用教程》中配套代码

Python 7,529 1,743 Updated Jul 30, 2024

代码 -《深度学习之PyTorch物体检测实战》

Python 853 365 Updated Oct 12, 2021

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

HTML 17,458 3,580 Updated Oct 7, 2022

Udacity Self-Driving Car Engineer Nanodegree projects.

C++ 2,781 1,379 Updated Mar 28, 2023

AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)

5,255 638 Updated Apr 24, 2024

Useful CMake Examples

CMake 12,415 2,499 Updated Feb 28, 2024

Quadcopter path planning using RRT* and minimum jerk trajectory generation

C++ 348 99 Updated Aug 29, 2022

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

JavaScript 54,835 15,882 Updated Jun 26, 2024

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

Python 4,511 1,755 Updated Mar 18, 2019

A complete computer science study plan to become a software engineer.

306,881 76,900 Updated Sep 13, 2024

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

Python 4,560 1,027 Updated Jun 9, 2024
HTML 153 33 Updated Jul 17, 2020

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

2,615 475 Updated Nov 26, 2018

A list of papers and resources dedicated to deep reinforcement learning

834 187 Updated Jun 16, 2016

A list of recent papers regarding deep reinforcement learning

2,178 555 Updated Jun 15, 2016

📡 Simple and ready-to-use tutorials for TensorFlow

Jupyter Notebook 16,390 3,190 Updated Nov 28, 2022

Free manuals for Autoware. You are encouraged to join their maintenance!

333 157 Updated Aug 4, 2017
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