120 results for “topic:ctr-prediction”
Papers on Computational Advertising
A unified, comprehensive and efficient recommendation library
A framework for large scale recommendation algorithms.
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
Tensorflow implementation of DeepFM for CTR prediction.
Recommender Learning with Tensorflow2.x
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
Factorization Machine models in PyTorch
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
CTR prediction model based on spark(LR, GBDT, DNN)
A Lighting Pytorch Framework for Recommendation Models (PyTorch推荐算法框架), Easy-to-use and Easy-to-extend. https://datawhalechina.github.io/torch-rechub/
DeepTables: Deep-learning Toolkit for Tabular data
TensorFlow Script
Recommender Systems Paperlist that I am interested in
A PyTorch implementation of DeepFM for CTR prediction problem.
CTR模型代码和学习笔记总结
BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS
Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.
Paper List for Recommend-system PreTrained Models
A collection of research and application papers of (uncertainty) calibration techniques.
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
Wide and Deep Learning for CTR Prediction in tensorflow
4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.
Deep-Learning based CTR models implemented by PyTorch
A highly-modularized and recommendation-efficient recommendation library based on PyTorch.
rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.
Open Source Ad Serving Platform with ML-Powered CTR Prediction | Self-hosted alternative to Google Ad Manager | Python, FastAPI, PyTorch
A unified, efficient, and extensible PyTorch-based recommendation library
推荐系统修炼手册