๐๏ธ Recommendation
A unified, comprehensive and efficient recommendation library
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
A Python nearest neighbor descent for approximate nearest neighbors
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Behavioral "black-box" testing for recommender systems
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference iโฆ
Blazing fast framework for fine-tuning similarity learning models
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
LightSeq: A High Performance Library for Sequence Processing and Generation
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI โฆ
Library for reading and writing large multi-dimensional arrays.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
ๆจ่/ๅนฟๅ/ๆ็ดข้ขๅๅทฅไธ็็ปๅ ธไปฅๅๆๅๆฒฟ่ฎบๆ้ๅใA collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Hackable and optimized Transformers building blocks, supporting a composable construction.
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning ๐
๐ก All-in-one AI framework for semantic search, LLM orchestration and language model workflows
๐ A real-world e-commerce dataset for session-based recommender systems research.
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning
just a bunch of useful embeddings for scikit-learn pipelines
GitHub Mirror of RecPack: Experimentation Toolkit for Top-N Recommendation (see https://gitlab.com/recpack-maintainers/recpack)
A Python implementation of LightFM, a hybrid recommendation algorithm.
A Python scikit for building and analyzing recommender systems
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
An open-source framework for self-supervised recommender systems.
Source code for Twitter's Recommendation Algorithm