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awesome-deeplearning-500faq

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。声明：所有内容来自（仅供学习）：https://github.com/scutan90/DeepLearning-500-questions

awesome-depth

A curated list of publication for depth estimation

awesome-fenix

讨论如何构建一套可靠的大型分布式系统

awesome-gcn

resources for graph convolutional networks （图卷积神经网络相关资源）

awesome-interaction-aware-trajectory-prediction

A selection of state-of-the-art research materials on trajectory prediction

awesome-lane-detection

lane detection

awesome-lidar

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-machine-learning-cn

机器学习资源大全中文版，包括机器学习领域的框架、库以及软件

awesome-panoptic-segmentation

Panoptic Segmentation Paper List.

awesome-point-cloud-place-recognition

A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)

awesome-python-cn

Python资源大全中文版，包括：Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等，由伯乐在线持续更新。

awesome-radar-perception

A curated list of radar datasets, detection, tracking and fusion

awesome-self-driving-car

An awesome list of self-driving cars

awesome-slam-datasets

A curated list of awesome datasets for SLAM

awesome-tiny-object-detection

🕶 A curated list of Tiny Object Detection papers and related resources.

awesome-visual-localization

A curated list of awesome visual localization research works.

basicgnntracking

This shows a basic implementation of the global nearest neighbour (GNN) multi target Tracker. Kalman filter is used for Tracking and Auction Algorithm for determining the assignment of measurments to filters.

behaviortree.cpp

Behavior Trees Library in C++. Batteries included.

blam

bmw-yolov3-training-automation

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. Training with YOLOv3 has never been so easy.

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

bytetrack

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

cctsdb

CSUST Chinese Traffic Sign Detection Benchmark

centerfusion

CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection

centernet-hardnet

Object detection achieving 44.3 mAP / 45 fps on COCO dataset

cheatsheets

Official Matplotlib cheat sheets

cimg

The CImg Library is a small, open-source, and modern C++ toolkit for image processing

cmaketutorial

CMake中文实战教程

complex-yolo

Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet