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3d-pointcloud

Papers and Datasets about Point Cloud.

3d_multiview_reg

Learning multiview 3D point cloud registration

3dmfv-net

Point cloud classification in Real-time using 3DmFV representation and CNNs

3dmfv-tutorial

This repository contains the python files from the blog post of 3DmFV tutorial

agents

Efficient Batched Reinforcement Learning in TensorFlow

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

alterground-lego-loam

The page for PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry

antialiased-cnns

Antialiasing cnns to improve stability and accuracy. In ICML 2019.

apollo

An open autonomous driving platform

autoware

Open-Source To Self-Driving.

autoware-manuals

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

avdata

Autonomous Vehicle Seasonal Dataset

awesome-slam-datasets

A curated list of awesome datasets for SLAM

bow3d

[RA-L] BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM.

buggraph

but_velodyne

ROS packages for Velodyne 3D LIDARs provided by Robo@FIT group.

caffe-posenet

Implementation of PoseNet

carla

Open-source simulator for autonomous driving research.

cvpr16-deepbit

Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks (CVPR16)

cvpr2021-papers-with-code-demo

收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！

cylinder3d

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (Nov. 2020) :fire::fire:

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

dblidarnet

dbow3

Improved version of DBow2

dbscan

Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms - R package

dbscan-1

C++ DBSCAN VP tree kNN

dbscan_kdtree

Fast Implementation of DBSCAN using Kdtree for acceleration. The example is clustering point cloud(PCL library used).

deep-learning

To achieve a variety of classic neural network

deeplearning-500-questions

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

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow