lidongliang

Ad-papers

Papers on Computational Advertising

Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt

dismember

Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.

FMLP-Rec

LeetCode-Go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

ml-papers

Collection of classical and state-of-the-art machine learning papers.

one_epoch_phenomenon

This is the implementation of `Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models`, which is accepted by CIKM2022. The codes will be released soon.

QRec

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

lidongliang/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

lidongliang/Ad-papers

Papers on Computational Advertising

lidongliang/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

lidongliang/DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt

lidongliang/dismember

Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.

lidongliang/FMLP-Rec

lidongliang/LeetCode-Go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

lidongliang/ml-papers

Collection of classical and state-of-the-art machine learning papers.

lidongliang/one_epoch_phenomenon

This is the implementation of `Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models`, which is accepted by CIKM2022. The codes will be released soon.

lidongliang/QRec

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

lidongliang/RecSysPapers

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

lidongliang/rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

lidongliang/tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

lidongliang/trlx

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)