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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 Neu…
A PyTorch Library for Multi-Task Learning
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.
Awesome Multitask Learning Resources
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）
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Python library for converting Scikit-Learn pipelines to PMML
Easy converter pandas -> tfrecords & tfrecords -> pandas
What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pare…
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
上海交通大学 LaTeX 论文模板 | Shanghai Jiao Tong University LaTeX Thesis Template
PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
A Curated List of Must-read Papers on Recommender System.
List of tools & datasets for anomaly detection on time-series data.
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
Paper List for Recommend-system PreTrained Models
Loss function which directly targets ROC-AUC
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
A game theoretic approach to explain the output of any machine learning model.
the CS missing semester Chinese version
Sequence modeling benchmarks and temporal convolutional networks
A curated, but incomplete, list of data-centric AI resources.
scikit-learn: machine learning in Python