wang1guan

wang1guan's Stars

• liguge/IDSN_public

  IDSN：一种用于高速列车牵引电机跨机诊断的单级可解释可微 STFT 域自适应网络 fault diagnosis

  6

• Polimi-YuYue/MLFNet

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

  131

• Candice-Feng/LARJD-large-active-radar-jamming-database-

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

  3

• osmr/imgclsmob

  Sandbox for training deep learning networks

  Language:Python3k562

• ZHOUYI1023/awesome-radar-perception

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

  1.3k278

• muupan/deep-reinforcement-learning-papers

  A list of papers and resources dedicated to deep reinforcement learning

  835187

• wwxFromTju/awesome-reinforcement-learning-zh

  中文整理的强化学习资料（Reinforcement Learning）

  1.9k355

• sweetice/Deep-reinforcement-learning-with-pytorch

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

  Language:Python3.9k843

• aikorea/awesome-rl

  Reinforcement learning resources curated

  8.8k1.8k

• opendenoising/opendenoising-benchmark

  An Open Source Benchmark for Evaluating Image Denoising Algorithms

  Language:Python232

• BetterBench/Deep-learning-paper-for-OFDM-Communication

  应用深度学习到OFDM通信系统中的论文文献汇总

  10512

• YesDong/signal-recognition

  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.

  Language:Matlab4214

• weiaicunzai/awesome-image-classification

  A curated list of deep learning image classification papers and codes

  2.8k597

• haoyye/ResourceAllocationReinforcementLearning

  intial version

  Language:Python14666

• kangcp/qfnet

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

  Language:Python6427

• tensorflow/tpu

  Reference models and tools for Cloud TPUs.

  Language:Jupyter Notebook5.2k1.8k

• wuda1/Graduation_project

  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

  2

• Phuong86/Anti-Jamming

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

  Language:Python175

• le-liang/ResourceAllocationDelayedCSI

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

  Language:MATLAB6824

• jx9527/FHSS-Hopping-Estimation

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

  Language:Python298

• shkrwnd/Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access

  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

  Language:Jupyter Notebook22397

• Baoshan-Lu/DeepLearning-500-questions

  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

  1

• Baoshan-Lu/DeepRL

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

  21

• Kedreamix/Pytorch-Image-Classification

  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。

  Language:Jupyter Notebook18824

• qfettes/DeepRL-Tutorials

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

  Language:Jupyter Notebook1.1k325

• chenhui07c8/Radio_Localization

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

  Language:MATLAB5815

• wangyh082/MOPSOHA

  Multiobjective Classification by a Novel PSO-based Hybrid Algorithm

  Language:MATLAB7

• abhineet123/MDP_Tracking

  Reinforcement learning based multi object tracker

  Language:Matlab104

• pahkoliu/code-for-the-paper-Low-rank-and-angular-structures-aided-mmWave-MIMO-channel-estimation-with-few-b-

  Language:MATLAB32

• pahkoliu/code-for-the-paper-Signal-detection-from-unlabeled-ordered-samples-

  Language:MATLAB11