Simple PyTorch Tutorials Zero to ALL!

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

TensorFlow Basic Tutorial Labs

Python implementation of Reinforcement Learning: An Introduction

《剑指Offer：数据结构与算法名企面试题精讲》

🌟 Wiki of OI / ICPC for everyone. （某大型游戏线上攻略，内含炫酷算术魔法）

A playbook for systematically maximizing the performance of deep learning models.

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

An index of recommendation algorithms that are based on Graph Neural Networks.

A collection of research and application papers of (uncertainty) calibration techniques.

Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)

Dynamic Fair Rankings

A JVM implementation of the Pair Adjacent Violators algorithm for isotonic regression

Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction

CTR模型代码和学习笔记总结

An implementation of a deep learning recommendation model (DLRM)

Lime: Explaining the predictions of any machine learning classifier

A queue service for quickly developing scripts that use all your GPUs efficiently

Accelerating Inference for Recommendation Systems

The code for 2020 Tencent College Algorithm Contest, and the online result ranks 1st.

2019腾讯广告算法大赛完整代码（冠军）

A two tower recommendation system implementation with tensorflow estimator, for CTR or Recall.

Classic papers and resources on recommendation

深度学习相关的模型训练、评估和预测相关代码