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GAR

This is the official code of GAR.

dive-into-DL-pytorch-scripts

本仓库在《动手学深度学习》(https://zh.d2l.ai/) 的pytorch实现 (https://github.com/ShusenTang/Dive-into-DL-PyTorch) 的基础上将其整理为python脚本，并添加了较多的注释，对初学者更加友好

ALDI

This is our implementation for ALDI.

Embedding_and_Mapping

Train embedding and mapping of GCN for recommendation interactively.

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

DropoutNet

Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"

estimator

train, evaluate and deploy model using tf-estimator

gcn

Implementation of Graph Convolutional Networks in TensorFlow

graphsage-simple

Simple reference implementation of GraphSAGE.

GUNets

Official Code of GUNets

Heater--Cold-Start-Recommendation

Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation

IT_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

lhy_DL_Hw

LightGCN

LightGCN-PyTorch

The PyTorch implementation of LightGCN

louvain

C implementation of the Louvain method for community detection in graphs

machine_learning_python

通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯

MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

MeLU

MetaEmbedding

Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"

models

Models and examples built with TensorFlow

NCF

A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17

neural_collaborative_filtering

Neural Collaborative Filtering

neural_graph_collaborative_filtering

Neural Graph Collaborative Filtering, SIGIR2019

pygcn

Graph Convolutional Networks in PyTorch

se3-transformer-public

code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503

SGC

official implementation for the paper "Simplifying Graph Convolutional Networks"

tensorflow_estimator_tutorial

Hello TensorFlow

TextING

[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"