ysssghtz

ysssghtz

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apollo

An open autonomous driving platform

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apollo-1

Apollo(阿波罗)是携程框架部门研发的分布式配置中心,能够集中化管理应用不同环境、不同集群的配置,配置修改后能够实时推送到应用端,并且具备规范的权限、流程治理等特性,适用于微服务配置管理场景。

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bazel

a fast, scalable, multi-language and extensible build system

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benchmark_results

Visual Tracking Paper List

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chineseocr

yolo3+ocr

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CodeFormer

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

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common-3d-test-models

Repository containing common 3D test models in original format with original source if known and obj mesh

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Deep-Learning-with-TensorFlow-book

深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

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DeepLearning

Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

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Dig-into-Apollo

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

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dlib

A toolkit for making real world machine learning and data analysis applications in C++

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FGVC

[ECCV 2020] Flow-edge Guided Video Completion

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fucking-algorithm

手把手撕LeetCode题目,扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

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g2o

g2o: A General Framework for Graph Optimization

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image-match

🎇 Quickly search over billions of images

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Learn-Vim

A book for learning the Vim editor the smart way.

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monyhar

梦弘浏览器 - 完全自主研发,打破国外垄断,比 Chrome 快 600%。

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MTSP

蜜桃视频,永不迷路!记住本站地址

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Neural-SLAM

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

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Object-Detection-and-Tracking

YOLO & RCNN Object Detection and Multi-Object Tracking

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opencv_3rdparty

OpenCV - 3rdparty

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opencv_contrib

Repository for OpenCV's extra modules

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ORB_SLAM2-1

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

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PaddleOCR

Awesome OCR toolkits based on PaddlePaddle (3.5M practical ultra lightweight OCR system, support training and deployment among server, mobile, embedded and IoT devices)

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srv_tools

ROS-Stack with some tools

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Ultra-Fast-Lane-Detection

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

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underactuated

The course text for MIT 6.832 (and 6.832x on edX)

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