Integrating-Item-Relevance-in-Training-Loss-for-Sequential-Recommender-Systems

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

? Serverless Framework – Effortlessly build apps that auto-scale, incur zero costs when idle, and require minimal maintenance using AWS Lambda and other managed cloud services.

Meteor, the JavaScript App Platform

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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/

OpenFaaS - Serverless Functions Made Simple

Flexible Fortran Modules and Subroutines for Scientific Computing

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Best Practices on Recommendation Systems

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything