pig-worm,github

3d-lidar-multi-object-tracking

🔥3D-MOT(点云多目标检测和追踪C++) （2020 · 秋）代码有详细注解

3dssd

3DSSD: Point-based 3D Single Stage Object Detector (CVPR 2020)

algorithm_frombilibili

《B站-青岛大学-王卓老师-数据结构与算法基础》自学心得、笔记（C++语言实现）

awesome-3d-object-detection

Papers, code and datasets about deep learning for 3D Object Detection.

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-self-driving-car

An awesome list of self-driving cars

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

cplusplusthings

C++那些事

cpptemplatetutorial

中文的C++ Template的教学指南。与知名书籍C++ Templates不同，该系列教程将C++ Templates作为一门图灵完备的语言来讲授，以求帮助读者对Meta-Programming融会贯通。(正在施工中)

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

cv_interview

I hope this repo can help you a lot!

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deepin-wine-ubuntu

Deepin Wine for Ubuntu/Debian

deeplearning-500-questions

depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

depth_clustering_ros

Clustering Algorithm，Point Cloud Segmentation

dla

Code for the CVPR 2018 Oral Paper "Deep Layer Aggregation"

dyglip

[CVPR 2021] DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking

fairmot

[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

kcp

K-Closest Points and Maximum Clique Pruning for Efficient and Effective 3-D Laser Scan Matching (RA-L 2022)

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

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

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！

ml-assignments

about Regression, Classification, CNN, RNN, Explainable AI, Adversarial Attack, Network Compression, Seq2Seq, GAN, Transfer Learning, Meta Learning, Life-long Learning, Reforcement Learning.

multiobjectiveoptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

pcl

Point Cloud Library (PCL)

pcl-learning

🔥PCL（Point Cloud Library）点云库学习记录

pcl-notes

pcl learning notes

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