Notebooks about Bayesian methods for machine learning

Python Implementation of Reinforcement Learning: An Introduction

统计学习导论python代码实现

Python package built to ease deep learning on graph, on top of existing DL frameworks.

graph-learn

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

SASRec: Self-Attentive Sequential Recommendation

Friendship Recommendation Engine for a Social Network

An industrial deep learning framework for high-dimension sparse data

Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

Unbiased Learning To Rank Algorithms (ULTRA)

[SIGIR 2019] Graph Intention Network for Click-through Rate Prediction in Sponsored Search 论文相关资料

Deep Matching, Correlation and Prediction (DeepMCP) Model

Reproduce of Top-K Off-Policy Correction for a REINFORCE Recommender System

A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.

“Chorus” of recommendation models: a PyTorch framework for Top-K recommendation with implicit feedback.

Learning to Rank in TensorFlow

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

Reproduce experiments in this paper: Hinton et. al. "Distilling the Knowledge in a Neural Network". NIPS2014

MixtureOfExpert

UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"