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reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

relationalpooling

renode

Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".

replace

RePlAce global placement tool

res-capsnet

Official implementation of the paper "Training Deep Capsule Networks with ResidualConnections".

research-publications

A list of all publications related to the KaHyPar frameworks.

reslpa

Label Propagation With Residual Learning

resrgat

ResRGAT

rl-job-shop-scheduling

Reinforcement learning approach for job shop scheduling

rsalgorithms

Some algorithms about traditional and social recommendation.

rspapers

A Curated List of Must-read Papers on Recommender System.

sagn_with_sle

sagpool

Official PyTorch Implementation of SAGPool - ICML 2019

samn

This is our implementation of SAMN: Social Attentional Memory Network

scopus2histcite

把在Scopus网站搜索得到的结果，转化成能用Histcite进行分析的文本的脚本

sgquant

SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization

shadowsocks-ios

Removed according to regulations.

shadowsocks-windows

If you want to keep a secret, you must also hide it from yourself.

sigir21-surge

Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".

sjtu-courses

上海交通大学课程资料分享

slurm

Slurm: A Highly Scalable Workload Manager

social-recommendation

Summary of social recommendation papers and codes

sotawhat

Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.

spark

Mirror of Apache Spark

spektral

Deep learning on graphs with Keras.

springer-books

An scrappeR of Springer books

stacked_capsule_autoencode_pl

implement stacked capsule autoencode with pytorch lightning

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

stellargraph

StellarGraph - Machine Learning on Graphs

stinger

The STINGER in-memory graph store and dynamic graph analysis platform. Millions to billions of vertices and edges at thousands to millions of updates per second.