MoLiang (AutuanLiu)

AutuanLiu

Geek Repo

Company:XiaoMi

Location:BeiJing, China

Home Page:https://ambercottage.top/

Github PK Tool:Github PK Tool


Organizations
ASourcePower
CurriculumDesign

MoLiang's repositories

torchctr

Recommended system(2018-2019); CTR prediction;Recommended-System-PyTorch===>> WIP

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ML-Docker-Env

:books::pineapple: This is my personal docker configure for machine learning and deep learning

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Co-Action-Network

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

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coral-ordinal

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

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CTR

CTR模型代码和学习笔记总结

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deeplearning

深度学习相关的模型训练、评估和预测相关代码

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DeepLearningZeroToAll

TensorFlow Basic Tutorial Labs

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DeepLight_Deep-Lightweight-Feature-Interactions

Accelerating Inference for Recommendation Systems

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dlrm

An implementation of a deep learning recommendation model (DLRM)

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Dynamic-Fairness

Dynamic Fair Rankings

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fastgpu

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

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GNN-Recommender-Systems

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

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lime

Lime: Explaining the predictions of any machine learning classifier

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OfferOrientedAlgorithms

《剑指Offer:数据结构与算法名企面试题精讲》

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OI-wiki

:star2: Wiki of OI / ICPC for everyone. (某大型游戏线上攻略,内含炫酷算术魔法)

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pairAdjacentViolators

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

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pydata-book

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

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PyTorchZeroToAll

Simple PyTorch Tutorials Zero to ALL!

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Reco-papers

Classic papers and resources on recommendation

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reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

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Tencent2019_Finals_Rank1st

2019腾讯广告算法大赛完整代码(冠军)

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Tencent2020_Rank1st

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

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torch-rechub

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

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tuning_playbook

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

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two_tower_recommendation_system

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

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uncertainty-calibration

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

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