Eric Yulong Gu (guyulongcs)

guyulongcs

Geek Repo

Company:Tsinghua University(PhD); ByteDance Inc.

Location:Beijing,China

Home Page:https://guyulongcs.github.io

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Eric Yulong Gu's repositories

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.

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

Awesome Deep Reinforcement Learning papers for industrial Search, Recommendation and Advertising.

CIKM2020_DMT

Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020

WSDM2020_HUP

Hierarchical User Profiling for E-commerce RecommenderSystems, WSDM 2020

Awesome-Self-supervised-Learning-papers

Awesome Self-supervised papers in CV, NLP, Graph, Recommendation, ML and so on.

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IJCAI2019_HGAT

Semi-supervised User Profiling with Heterogeneous Graph Attention Networks, IJCAI 19

AAAI2021_ANPP

Attentive Neural Point Processes for Event Forecasting, AAAI 2021

CIKM2020_DecGCN

Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items, CIKM 2020

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Awesome-Transformers

Awesome Transformers papers.

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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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Algorithm-Practice-in-Industry

搜索、推荐、广告、用增等工业界实践文章收集(来源:知乎、Datafuntalk、技术公众号)

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adapter-transformers

Huggingface Transformers + Adapters = ❤️

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Awesome-Deep-Learning-Papers

Awesome-Deep-Learning-Papers

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Awesome-Deep-Neural-Network-Compression

Summary, Code for Deep Neural Network Quantization

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awesome-self-supervised-learning

A curated list of awesome self-supervised methods

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bert

TensorFlow code and pre-trained models for BERT

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byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

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CIKM2020-S3Rec

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

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es_dfm

code of our AAAI 2021 paper Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling

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guyulongcs.github.io

guyulongcs.github.io

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machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

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machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

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SimSiam

A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'

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SimSiam-TF

Minimal implementation of SimSiam (https://arxiv.org/abs/2011.10566) in TensorFlow 2.

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system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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uncertainty-calibration

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

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