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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_python

Deep Learning--深度学习

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deepsort

support deepsort and bytetrack MOT(Multi-object tracking) using yolov5 with C++

depth_clustering

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

depth_clustering_ros

Clustering Algorithm，Point Cloud Segmentation

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

dgcnn.pytorch

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

distillation

divide-and-merge-lidar-panoptic-cluster

A LiDAR point cloud cluster for panoptic segmentation

dwa_planner

ROS implementation of DWA(Dynamic Window Approach) Planner

dynamic_cloud_detector

ROS package for dividing point cloud into "dynamic" and "static"

dynamic_obstacle_avoidance_planner

Collision prediction based dynamic obstacle avoidance planner

easyquotation

实时获取新浪 / 腾讯 的免费股票行情 / 集思路的分级基金行情

efficient_online_segmentation

Efficient Online Segmentation of Ground&Wall Points for Multi-line Spinning LiDARs. //在线分割激光点云中的地面点和墙面点。

ekf-imm

An EKF filter based Interacting Multiple Model applied in 2D object maneuver modeling.

elc-ois

Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR Data

elegantrl

Cloud-native Deep Reinforcement Learning. 🔥

erasor

Official page of ERASOR (RA-L'21 with ICRA'21)

eskf

An implementation of an Error State Kalman Filter (ESKF)

eskf-1

ROS Error-State Kalman Filter based on PX4/ecl. Performs GPS/Magnetometer/Vision Pose/Optical Flow/RangeFinder fusion with IMU

eskf_lio

IESKF-LIO reference to fast_lio1.0(参考fast-lio早期版本，复现的fast-lio2)

eskf_localization

extended-kalman-filter

Extended Kalman Filter for Pose Estimation using Odometry and IMU

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

f110_rrt_star

RRT Star path planning for dynamic obstacle avoidance for the F110 Autonomous Car

fairmot_tensorrt

fairmot_tensorrt_c

fast-drone-250

hardware and software design of the 250mm autonomous drone

fast-ground-segmentation-based-on-jpc

An implementation on "Shen Z, Liang H, Lin L, Wang Z, Huang W, Yu J. Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process. Remote Sensing. 2021; 13(16):3239. https://doi.org/10.3390/rs13163239"