Tensors and Dynamic neural networks in Python with strong GPU acceleration

A curated list of awesome resources about Recommender Systems.

Machine learning, in numpy

原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial…

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

Word2vec, Fasttext, Glove, Elmo, Bert, Flair pre-train Word Embedding

Classic papers and resources on recommendation

Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"

A Deep Learning Recommender System

Deep recommender models using PyTorch.

A repository of machine learning codes written for re-usability

Neural Collaborative Filtering

Implementation for paper: Recommendation Based on Review Texts and Social Communities: A Hybrid Model

This project implements "one-class" recommendation system to solve user preference problem by leveraging social connections of users.

用PaddlePaddle实现的真实案例和有趣应用

用PaddlePaddle和Tensorflow实现常用的深度学习算法

PaddlePaddle Fluid 版本系列教程，CSDN博客专栏：

A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)

This is our implementation of SAMN: Social Attentional Memory Network

Classic recommendation algorithms implementation

RSTutorials: A Curated List of Algorithms about Traditional and Social Recommender System.

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

Docker images and test runners that replicate the live AWS Lambda environment

Tutorial for Movie Recommendation using RNN based neural network

TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2