Henry's repositories
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
PointPillars_MultiHead_40FPS
A REAL-TIME 3D detection network [Pointpillars] compiled by CUDA/TensorRT/C++.
ROS-Academy-for-Beginners
**大学MOOC《机器人操作系统入门》课程代码示例
apollo
An open autonomous driving platform
Awesome-BEV-Perception-Multi-Cameras
Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
Daily-DeepLearning
🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial
deep-transfer-learning
A collection of implementations of deep domain adaptation algorithms
DirectVoxGO
Direct voxel grid optimization for fast radiance field reconstruction.
documentation
📘 Nextcloud documentation
FastSCNN-TensorRT
Implementation of FastSCNN with TensorRT7 network definition API
kitti_object_vis
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
kitti_ros
A ROS-based player to replay KiTTI dataset. http://www.cvlibs.net/datasets/kitti/
Person_reID_baseline_pytorch
A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
publications-tabelini-ijcnn-2019
Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images
Yolov5-deepsort-inference
Yolov5 deepsort inference,使用YOLOv5+Deepsort实现车辆行人追踪和计数,代码封装成一个Detector类,更容易嵌入到自己的项目中