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Implementations from the free course Deep Reinforcement Learning with Tensorflow
Considering the complex terrain forest, the optimal deployment scheme of wireless sensor network is to ensure that the 3D forest is covered as much as possible under the condition that all sensors are 100% connectivity.
Project for CME 323: Distributed Algorithms and Optimization
DL tackling Massive-MIMO problems
learning the weight of each paras in DWA(Dynamic Window Approach) by using DQN(Deep Q-Learning)
Code for the paper 'Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks'
This is an implement on the algorithm of the interacting multiple model algorithm.
Here lies all the exercises I implement and share in my website
Bayesian Filters MATLAB Codebook
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
This repository contains the information required by the TensorFlow Hands-on at Summer Seminar ETSETB TelecomBCN, 4-8 July 2016
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.
A Genetic Algorithm Framework in Python
里面包含许多GAN算法的Keras源码,可以用于训练自己的模型。
A high-performance GEA framework for Python. Welcome to star and fork.
Genetic algorithm implementation for the multidimensional knapsack problem
遗传算法的JS实现
Hands-On Deep Learning with TensorFlow, published by Packt
Hands-On Reinforcement Learning with Python, published by Packt
[ICNC 2020] Hybrid Beamformer Codebook Design and Ordering for Compressive mmWave Channel Estimation
Hi all, some readers ask me the code for channel modeling and Algorithms in the paper "Hybrid Relay-Reflecting Intelligent Surface-Assisted Wireless Communication" (available on https://arxiv.org/pdf/2103.03900.pdf ). I upload them here, and hope this helps!!!
containing works for my IDP on Social LSTM
基于keras集成多种图像分类模型: VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet
This repository contains supporting codes for the paper “Interactive multiple model ensemble Kalman filter for traffic estimation and incident detection.”. Please see readme for more details on how to run the codes.
PIMRC paper Reproducible codes
Intro to Reinforcement Learning (强化学习纲要)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.