yangliming0322

yangliming0322's Stars

• zergtant/pytorch-handbook

  pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

  Language:Jupyter Notebook20.1k5.4k

• liupenghui-owen/NDN-RTCLIB

  NDN-RTC is a videoconferencing library that employs Named Data Networking (NDN), a proposed future Internet architecture. It was designed to provide a platform for experimental research in low-latency, real-time multimedia communication over NDN. It aims to provide an end-user experience similar to Skype or Google Hangouts, while implementing a receiver-driven approach that takes advantage of NDN's name-based forwarding, data signatures, caching, and request aggregation. As implemented, NDN-RTC employs widely used open source components, including the WebRTC library, VP9 codec, and OpenFEC for forward error correction. This paper presents the design, implementation in C++.

  Language:C++4

• zbezj/HEU_KMS_Activator

  28.3k3k

• boyu-ai/Hands-on-RL

  https://hrl.boyuai.com/

  Language:Jupyter Notebook2.3k515

• sheydashz/federated-double-deep-Q_network-

  A framework that exploits the potentials of distributed federated learning and double deep Q-networks to minimize joint energy and delay in IoT networks

  Language:Jupyter Notebook97

• tomdbar/eco-dqn

  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".

  Language:Python7924

• fangvv/UAV-DDPG

  Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

  Language:Python41373

• sakshi-s/Portfolio-Optimization-using-Deep-Learning-Techniques

  Portfolio Optimisation is a fundamental problem in Financial Mathematics.The objective of this project is to explore the applicability of state-of-the-artartificial intelligence techniques, namely Reinforcement Learning algorithms,for trading securities in the Indian stock market. We begin our discussionby glancing over Markov Decision Processes (MDP), the mathematical basisthat underpins this RL algorithm. We then examine the Deep- Q-learningalgorithm (DQN) to begin our study. We also test the algorithm on twostocks in the Indian market to generate a sizeable profit on a portfolio of asingle share, for a discrete set of actions, buy/sell/hold (+1,-1,0).

  Language:Jupyter Notebook112

• emilbjornson/massivemimobook

  Book PDF and simulation code for the monograph "Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency" by Emil Björnson, Jakob Hoydis and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2017.

  Language:MATLAB341147

• iftell/tanhua

  9519

• qiongwu86/Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing

  Language:Python599

• zhuwenxing/daily_arxiv

  Using GitHub Action to collect paper list with publicly available source code in the daily arxiv

  Language:Python19245

• ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL

  无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

  1.8k639

• yangliming0322/Awesome-Federated-Learning

  Federated Learning Library: https://fedml.ai

  1

• robbertliu/deeplearning.ai-andrewNG

  deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link

  Language:Jupyter Notebook1.4k528

• CodeCasting/DeepIRS

  A repository for the DeepIRS project codes

  Language:MATLAB2923

• ddiu8081/Tourval

  基于LBS和混合推荐算法的智能旅游导游系统

  Language:Kotlin275