kalman61 Goto Github PK

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algo

数据结构和算法必知必会的50个代码实现

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

bullshitgenerator

Needs to generate some texts to test if my GUI rendering codes good or not. so I made this.

clatt

cooperative localization and target tracking

cooperative-wanets

A Reputation based scheme to enforce Cooperation in Wireless Ad-Hoc Networks

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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.

deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

deeprlvehicularlocalization

Decentralized Scheduling for Cooperative Localization with Deep Reinforcement Learning

demo_for_kalmanfilter

fusion algorithm(kf) with only ranging(UWB) and 6-axis imu sensor

diskrelax

Code for Simple and fast convex relaxation method for cooperative localization in sensor networks using range measurements, Signal Processing, IEEE Transactions on , vol.63, no.17, pp.4532-4543, Sept.1, 2015

distributed-network-consensus

MATLAB implementation of "Average TimeSync Protocol", an algorithm for clock synchronization via distributed linear iterations from IEEE publication "A Distributed Consensus Protocol for Clock Synchronization in Wireless Sensor Networks" by Luca Schenato and Giovanni Gamba

error-analysis-in-wireless-sensor-network

Analyzed error propagation and its distribution in large sensor network using detection and estimation theory. Ran monte-carlo analysis to quantify errors in different localization algorithms in MATLAB.

exercise

exercise for nndl

free-programming-books

:books: Freely available programming books

games

Some games created by python code.

gitskills

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。

learngit

learngitbranching

An interactive git visualization to challenge and educate!

learngitt

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接

machine-learning-session

machinelearningnotes

My personal notes

markov-model

Localization Algorithm design

mathematics

数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波

ml-in-action

出版书籍《机器学习入门到实践——MATLAB实践应用》一书中的实例程序。涉及监督学习，非监督学习和强化学习。(code for book "Machine Learning Introduction & action in MATLAB")

mopso-wsn

Routing in Wireless Sensor Network using Multiobjective Particle Swarm Optimization