tutuannie's repositories
Ad-Hoc
CENG-532, Distributed Computing Systems Homework Solutions
An-Attention-based-Spatiotemporal-LSTM-Network-for-Next-POI-Recommendation
A python vision code of An Attention-based Spatiotemporal LSTM Network for Next POI Recommendation
BigData-Processing-using-Distributed-Computing-MPI
A simple application which process a large twitter data set to showcase the power of distributed processing interface MPI
DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.
Distributed-file-system
分布式系统期末大作业：模拟一个简单的分布式文件系统
dlrm
An implementation of a deep learning recommendation model (DLRM)
dstn
Deep Spatio-Temporal Neural Network (DSTN)
hpc-python
Python in High Performance Computing
LGLMF
LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation
lightfm
A Python implementation of LightFM, a hybrid recommendation algorithm.
online-judge-recommendation
本系统是基于物品（item-based）的系统过滤算法。协同过滤推荐技术被认为是推荐系统算法中应用最为成功的技术之一。它通常采用最近邻（K-Nearest-Neighbor， KNN）算法，利用用户的历史记录来计算用户之间的距离，然后利用目标用户的最近邻用户对物品评价来预测目标用户对其他未评价物品的感兴趣程度，系统从而根据这一感兴趣程度来对目标用户进行推荐。
POI-recommendation
a cnn neural network for personalized POI recommendation in location-based social networks
POI-Retriever
Point Of Interest (POI) data collector script
Point-of-Interest-Recommendation
Next location prediction based on Theano
POIRec
Successive Point-of-Interest Recommendation
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
PyTorch-Geometric-YooChoose
This is a tutorial for PyTorch Geometric on the YooChoose dataset
Reco-papers
Classic papers and resources on recommendation
RSPapers
Must-read papers on Recommender System.
SAE-NAD
The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"
SDS-Course-Project
复旦大数据学院课程作业：人工智能，分布式系统，自然语言处理，高级大数据解析，计算机网络
spotlight
Deep recommender models using PyTorch.
tensorflow
该工程基于Python3.6，tensorflow1.6。主要是对tensorflow框架进行认识，实践和应用，快速掌握tf在深度学习上的使用，包括线性模型，minist数据集分类，Tensorboard，CNN，LSTM，图像识别网络inception-v3，多任务学习以及验证码识别， word2vec，语音分类模型等实践。配合https://www.bilibili.com/video/av20542427 视频学习更佳。要求在一定的机器学习或深度学习的基础（更新中）