pintonos's starred repositories
the-algorithm
Source code for Twitter's Recommendation Algorithm
recommenders
Best Practices on Recommendation Systems
vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
amazon-bedrock-workshop
This is a workshop designed for Amazon Bedrock a foundational model service.
GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
retail-demo-store
AWS Retail Demo Store is a sample retail web application and workshop platform demonstrating how AWS infrastructure and services can be used to build compelling customer experiences for eCommerce, retail, and digital marketing use-cases
video-on-demand-on-aws
An automated reference implementation leveraging AWS Step Functions and AWS Media Services to deploy a scalable fault tolerant Video on demand workflow
recsys-dataset
🛍 A real-world e-commerce dataset for session-based recommender systems research.
Awesome-Contrastive-Learning-and-Data-Augmentation-RS-Paper-Code
The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems
Awesome-Hypergraph-Network
A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.
video-on-demand-on-aws-foundation
How to implement a video-on-demand workflow on AWS leveraging AWS Lambda, AWS Elemental MediaConvert, Amazon s3 and Amazon CloudWatch. Source code for Video on Demand on AWS Foundation solution.
personalization-apis
Real-time low latency API framework that sits between your applications and recommender systems such as Amazon Personalize
multi-armed-bandits-for-recommendation-systems
implement basic and contextual MAB algorithms for recommendation system
sagemaker-feature-store-real-time-recommendations
Build a real-time recommendation engine for an e-commerce website leveraging SageMaker Feature Store as a core component of the solution.
sigir23-mojito
Source code from the SIGIR 2023 article "Attention Mixtures for Time-Aware Sequential Recommendation" by V.A. Tran, G. Salha-Galvan, B. Sguerra, and R. Hennequin
sasrec-pytorch
Personal implementation of the SASRec model.
SessionRecGraphFusion
This is the official repository of the paper "Performance Comparison of Session-based Recommendation Algorithms based on Graph Neural Networks"