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Discover 10 open source projects
Showing 1-10 of 10 projects
shenweichen/DeepCTR
A modular and extendible Python package for deep learning-based click-through rate prediction models.
wzhe06/Ad-papers
Collection of research papers on computational advertising techniques like CTR prediction and recommender systems.
RUCAIBox/RecBole
A unified, comprehensive and efficient recommendation library for building recommendation systems.
shenweichen/DeepCTR-Torch
A PyTorch-based package of deep learning-based CTR models for easy-to-use, modular, and extendible development.
ZiyaoGeng/RecLearn
A Python library for building recommender systems using popular deep learning techniques like DeepFM, NCF, and more.
ricmoo/aes-js
A pure JavaScript library for the AES block cipher and common encryption modes, usable in Node.js and web browsers.
reczoo/FuxiCTR
A configurable, tunable, and reproducible library for CTR prediction in Python with PyTorch support.
rixwew/pytorch-fm
A PyTorch library for building Factorization Machine models for click-through rate prediction tasks.
NVIDIA-Merlin/HugeCTR
A high-performance GPU framework for click-through-rate (CTR) estimation training in recommender systems.
imsheridan/DeepRec
A collection of must-read papers on recommendation systems and CTR prediction for developers working in computational advertising and AI-driven applications.
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