MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets

This dataset contains time-series signals of radar active jamming, which are used for research related to radar active jammingrecognition.

Sandbox for training deep learning networks

A curated list of radar datasets, detection, tracking and fusion

A list of papers and resources dedicated to deep reinforcement learning

中文整理的强化学习资料（Reinforcement Learning）

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Reinforcement learning resources curated

An Open Source Benchmark for Evaluating Image Denoising Algorithms

应用深度学习到OFDM通信系统中的论文文献汇总

Use Hilbert-Huang Transform(EMD), MFCC, semi-supervised Rough Fuzzy Laplacian Eigenmap(SS-RFLE) to extract features of signals. Use FCM, PCM, SS-PCM, SVM(Libsvm-3.22) for recognition.

A curated list of deep learning image classification papers and codes

intial version

《Power Allocation in Multi-cell Networks Using Deep Reinforcement Learning》论文复现

Reference models and tools for Cloud TPUs.

毕业设计项目----基于图神经网络与多任务学习的图像分类器

Classify the jamming pattern and predict the action of channel selection in the future time slots

Spectrum and power allocation for vehicular communications with delayed CSI feedback, IEEE Wireless Communications Letters

1. HackRF and GUNRadio are used to generate and transmit frequency hopping signals 2. Use LSTM to realize FH point identification of FH signal

Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

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

用于pytorch的图像分类，包含多种模型方法，比如AlexNet，VGG，GoogleNet，ResNet，DenseNet等等，包含可完整运行的代码。除此之外，也有colab的在线运行代码，可以直接在colab在线运行查看结果。也可以迁移到自己的数据集进行迁移学习。

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Channel modeling, performance analysis, localization and optimization algorithm for 5G/6G (mmWave/THz) localization and sensing

Multiobjective Classification by a Novel PSO-based Hybrid Algorithm

Reinforcement learning based multi object tracker

MATLAB Code for MIMO-OFDM Wireless Communications with MATLAB | MIMO-OFDM无线通信技术及MATLAB实现