Gee's starred repositories
PoseCNN-PyTorch
PyTorch implementation of the PoseCNN framework
SoTA-Point-Cloud
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
NOCS_CVPR2019
[CVPR2019 Oral] Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation on Python3, Tensorflow, and Keras
clothing-dataset
Closing dataset, all classes
PENet_ICRA2021
ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"
apriltags_ros
AprilTags for ROS
CloudPose_pt
This is a pytorch implementation of "Learning Object Pose Estimation with Point Cloud"
open3d_ros_pointcloud_conversion
2 Python API functions for point cloud conversion between Open3D and ROS. Compatible for XYZ and XYZRGB point type.
habitat-lab
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
sound-spaces
A first-of-its-kind acoustic simulation platform for audio-visual embodied AI research. It supports training and evaluating multiple tasks and applications.
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
point-transformer-pytorch
Implementation of the Point Transformer layer, in Pytorch
contact_graspnet
Efficient 6-DoF Grasp Generation in Cluttered Scenes
labelCloud
A lightweight tool for labeling 3D bounding boxes in point clouds.
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
apriltag_ros
A ROS wrapper of the AprilTag 3 visual fiducial detector
recurrent-visual-attention
A PyTorch Implementation of "Recurrent Models of Visual Attention"
interview
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
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。
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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
turtlebot2i
Interbotix Turtlebot 2i Navigation & Object Manipulation Demos