duanchao

Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

RSPapers

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

spotlight

Deep recommender models using PyTorch.

pycharm-guide

PyCharm 中文指南：安装 | 破解 | 效率 | 技巧

QRec

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

awesome-RecSys

A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)

SASRec

SASRec: Self-Attentive Sequential Recommendation

daisyRec

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

ReChorus

“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.

Paperlist-for-Recommender-Systems

Recommender Systems Paperlist that I am interested in

python-topic-model

Implementation of various topic models

DRL4Recsys

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

Deep_Matrix_Factorization_Models

Implementation of the "Deep Matrix Factorization Models for Recommender Systems"

Neu-Review-Rec

A Toolkit for Neural Review-based Recommendation models with Pytorch.

Probabilistic-Matrix-Factorization

Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset

study-use-latex

LaTeX使用过程笔记、有用网址收集，方便自己与他人查阅

CollaborativeVAE

ID-DAML

推荐系统---实验+复现+创新

PHDMF

This is a new deep learning model for recommender system, which we called PHD

Newest_Awesome-RecSys-Papers

2022 Recommendation System Related Top Conference Papers

tutorials

Dmf_AttnDMF

深度矩阵分解模型 与 带注意力的深度矩阵分解模型

hybrid-probabilistic-matrix-factorization-model

Code for paper 'A novel hybrid deep recommendation system to differentiate user’s preference and item’s attractiveness'

scikit-learn

scikit-learn: machine learning in Python

tensorflow

Computation using data flow graphs for scalable machine learning

competitive-recsys

A collection of resources for Recommender Systems (RecSys)

KGRS

paper

Luogu-Book-Code-Note

代码和笔记

Attention-Based-CNNs-for-fake-News-Detection

An NLP Task aimed at Predicting whether a given news article is fake or real by creating own Word2Vec Model, leveraging Attention-Mechanism to create combined Word-Vector Matrix and then feeding to CNNs

KSEM2019-and-NARRE2018