The py3gppchannels library is a Python package that implements the 3GPP standardized radio channel models (3GPP TR 38.901). It provides a comprehensive set of functions for simulating wireless comm…

Urban Microcell-Street Canyon implementation of the 3GPP Channel Model for 5G mm-wave.

上传一些关于通信的好书，以便不时之需。

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

Channel Estimation for MIMO OFDM Systems (LSE& MMSE)

A QPSK modem written in the Verilog hardware description language, that can be implemented on FPGA

Graph Neural Network Library for PyTorch

A list of recent papers about Graph Neural Network methods applied in NLP areas.

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Robust Speech Recognition via Large-Scale Weak Supervision

Composable building blocks to build Llama Apps

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

All Algorithms implemented in Python

Implementation of the proposed minGRU in Pytorch

AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

图神经网络相关算法详述及实现

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

Sample Code for Gated Graph Neural Networks

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法…

Paper Lists for Graph Neural Networks

《深入浅出图神经网络：GNN原理解析》配套代码

GNN综述阅读报告

Repository for benchmarking graph neural networks

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

Must-read papers on graph neural networks (GNN)