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d2l-zh

《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

darknet

darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析

deep-learning-traffic-lights

Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge

deeper-traffic-lights

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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，近30万字。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_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

dino

Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

eccv2022-paper-code-interpretation

ECCV2022 论文/代码/解读合集，极市团队整理

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

free-programming-books

:books: Freely available programming books

frustum-pointpillars

Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR

git_test

imgaug

Image augmentation for machine learning experiments.

kitti_object_vis

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

learning-deep-learning

Paper reading notes on Deep Learning and Machine Learning

lee-slam-source

SLAM 开发学习资源与经验分享

lidar_ai_solution

A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).

lidar_rcnn

LiDAR R-CNN: An Efficient and Universal 3D Object Detector

lidarmtl

The official code release of LidarMTL, a simple and efficient multi-task network for 3D object detection and road understanding

lift-splat-shoot

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

light-condition-style-transfer

Light condition style transfer-based data enhancement method for lane detction in low-light conditions

livox_detection

Livox open source detection algorithm

m2bev

mapandlocation

定位及高精地图技术文档

mobilenetv2.pytorch

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

mobilenetv3-pytorch

Implementing MobileNetV3 using Pytorch