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Deep Match to Rank Model for Personalized Click-Through Rate Prediction
An implementation of a deep learning recommendation model (DLRM)
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search sc…
A library for efficient similarity search and clustering of dense vectors.
TensorFlow implemenation of GRu4Rec model
LINE: Large-scale information network embedding
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
pywFM is a Python wrapper for Steffen Rendle's factorization machines library libFM
Learning embeddings for classification, retrieval and ranking.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
The official repository for ERNIE 4.5 and ERNIEKit – its industrial-grade development toolkit based on PaddlePaddle.
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Ne…
Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"
Apache Spark - A unified analytics engine for large-scale data processing
Best Practices on Recommendation Systems
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.