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aerial_navigation_development_environment

Leveraging system development and robot deployment for aerial autonomous navigation.

airsimdrl

Autonomous UAV Navigation without Collision using Visual Information in Airsim

autonomous-ai-drone-scripts

State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.

avem

🚁 轻量级无人机飞控-[Drone]-[STM32]-[PID]-[BLDC]

awesome-algorithm-interview

算法工程师(人工智能CV方向)面试问题及相关资料

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-embedded

A curated list of awesome embedded programming.

awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

awesome-rl

Reinforcement learning resources curated

bank_interview

:bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

cerlab-uav-autonomy

[CMU] A Versatile and Modular Framework Designed for Autonomous Unmanned Aerial Vehicles [UAVs] (C++/ROS/PX4)

cpp-0-1-resource

C++ 匠心之作 从0到1入门资料

cpp_new_features

2021年最新整理， C++ 学习资料，含C++ 11 / 14 / 17 / 20 / 23 新特性、入门教程、推荐书籍、优质文章、学习笔记、教学视频等

cs-book

计算机类常用电子书整理，并且附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等书籍

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

easyquant

EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

hagrid

HAnd Gesture Recognition Image Dataset

hawq

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

introrl

Intro to Reinforcement Learning (强化学习纲要）

iuavc-positioning-challenge

无人飞行器智能感知技术竞赛-精准定位

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

lanlaninterview

此仓库将包含各大银行的基本介绍，笔试面试特点，发现这个宝库就离上岸不远了，哼

learngit

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ),

mocap-drones

Low cost motion capture system for room scale tracking

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

pytorch-quantization-demo

A simple network quantization demo using pytorch from scratch.