Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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Updated
Jul 6, 2024 - Python
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A Python implementation of LightFM, a hybrid recommendation algorithm.
Papers on Computational Advertising
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Classic papers and resources on recommendation
Accelerated deep learning R&D
Deep recommender models using PyTorch.
A Deep Learning Recommender System
Recommender Learning with Tensorflow2.x
Pytorch domain library for recommendation systems
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Neural Collaborative Filtering
A framework for large scale recommendation algorithms.
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
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 Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
A TensorFlow recommendation algorithm and framework in Python.
fastFM: A Library for Factorization Machines
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
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