99-April

yeb-back

Office Automation

gan

python notebooks accompanying the book Make Your Own GAN

Channel_Estimation_cGAN

Channel Estimation for One-Bit Multiuser Massive MIMO Using Conditional GAN

Keras-Attention

这个仓库主要包含了LSTM、卷积神经网络中，注意力机制的实现。

yolov4-tiny-keras

这是一个YoloV4-tiny-keras的源码，可以用于训练自己的模型。

Spectrum-Sensing

Using signal processing based features to train and validate machine-learning algorithms to improve spectrum sensing and related problems in cognitive radios.

learning-mmse-est

Julia code for the paper "Learning the MMSE Channel Estimator"

CRNOMA_DDPG

A DDPG based reinforcement learning algorithm for cognitive radio inspired non-orthogonal multiple access (CR-NOMA) systems

2020-B-

2020年“华为杯”数学建模Q2的Filter—Wrapper过程及Q4的优化过程主要代码。

Spectrum-sensing-using-CNN-based-deep-learning

Machine_learning_for_spectrum_sensing

Four Machine_learning_methods_for_spectrum_sensing

faster-rcnn-pytorch

这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。

score-based-channels

Source code for paper "MIMO Channel Estimation using Score-Based Generative Models", published in IEEE Transactions on Wireless Communications.

D-AMP_Toolbox

This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.

DnCNN

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

ChannelNet

Implementation of the paper "Deep Learning-Based Channel Estimation"

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Data-Science-Notes

数据科学的笔记以及资料搜集

linux-matlab

Linux下安装Matlab

ML-notes

notes about machine learning

Python-100-Days

Python - 100天从新手到大师

PAT

PAT OJ exercises in C language 浙江大学PAT纯C语言题解。