lrjxaint Goto Github PK

irs-relaying

Simulation code for “ Intelligent Reflecting Surface vs. Decode-and-Forward: How Large Surfaces Are Needed to Beat Relaying?,” by Emil Björnson, Özgecan Özdogan, Erik G. Larsson, IEEE Wireless Communications Letters, To appear.

irs_opt_statistical_csi

irsa_4_5g

Repository for the Matlab code of the simulations in the paper "System Level Integration of Irregular Repetition Slotted ALOHA for Industrial IoT in 5G New Radio" by H. Murat Gursu, M. Cagatay Moroglu, Mikhail Vilgelm, Federico Clazzer, Wolfgang Kellerer

irsdiagnosis

MATLAB codes for implementing the diagnostic techniques in "Diagnosis of Intelligent Reflecting Surface in Millimeter-wave Communication Systems". Original article available at https://arxiv.org/abs/2101.03792

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kamyu104-leetcode

keras-rcnn

Keras package for region-based convolutional neural networks

keras_demo

keras_frcnn

Keras Implementation of faster-rcnn

knapsack

Solving the knapsack problem using Ant Colony Optimisation (ACO)

knapsack-problem

Dynamic problem, Greedy algorithm, Reinforcement learning

knapsackproblemseries

The knapsack problem or rucksack problem is a problem in combinatorial optimization: Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as large as possible.

lc-all-solutions

My own leetcode solutions by python

learning-based-power-control-for-mmwave-massive-mimo-against-jamming

论文中包含的论文原文以及原文所涉及的简化版代码。

learning-to-communicate

Learning to Communicate with Deep Multi-Agent Reinforcement Learning

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

linux-80211n-csitool

802.11n CSI Tool based on iwlwifi and Linux

linux-80211n-csitool-supplementary

802.11n CSI Tool based on iwlwifi and Linux-2.6

lis-deeplearning

Simulation code for "Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning" by Abdelrahman Taha, Muhammad Alrabeiah, Ahmed Alkhateeb, arXiv e-prints, p. arXiv:1904.10136, Apr 2019.

loadbalancecontrol-rl

Using Reinforcement Learning method to realize load balancing control in dynamic cellular network

lola

Code release for Learning with Opponent-Learning Awareness and variations.

lstm-pedestrian-prediction-keras

Pedestrian trajectory prediction with Keras LSTM

lstm_helloworld

use LSTM to predict international airline passengers

m.e-energy-efficient-power-and-subcarrier-allocation-for-ofdma-systems-with-value-function-approxima

Energy-Efficient Power and Subcarrier Allocation for OFDMA Systems with Value Function Approximation Approach. EI paper from march to september 2012.

maac

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

machine-learning-course

浙江大学胡浩基《机器学习》代码

machine-learning-yearning-cn

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

machinelearning

Machine Learning in Action学习笔记，一个文件夹代表一个算法，每个文件夹包含算法所需的数据集、源码和图片，图片放在pic文件夹中，数据集放在在Data文件夹内。书中的代码是python2的，有不少错误，这里代码是我用python3写的，且都能直接运行

machinelearningdoc

documents for MachineLearning

madrl

Repo containing code for multi-agent deep reinforcement learning (MADRL).