State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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Updated
Apr 4, 2024 - Jupyter Notebook
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
LibRec: A Leading Java Library for Recommender Systems, see
A unified, comprehensive and efficient recommendation library
Learning to Rank in TensorFlow
精选机器学习,NLP,图像识别, 深度学习等人工智能领域学习资料,搜索,推荐,广告系统架构及算法技术资料整理。算法大牛笔记汇总
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Ten thousand books, six million ratings
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
Learn about Machine Learning and Artificial Intelligence
Next RecSys Library
Deep Learning Computer Vision Algorithms for Real-World Use
A tensorflow implementation of RippleNet
recommender system library for the CLR (.NET)
4 different recommendation engines for the MovieLens dataset.
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
Variational autoencoders for collaborative filtering
A tensorflow implementation of Knowledge Graph Convolutional Networks
2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
pytorch version of neural collaborative filtering
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
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