Best Practices on Recommendation Systems

Best practices & guides on how to write distributed pytorch training code

A curated collection of system prompts and tool definitions from production AI coding agents

A unified, comprehensive and efficient recommendation library

Neural Networks

A curated list of practical financial machine learning tools and applications.

🏅 Collection of Kaggle Solutions and Ideas 🏅

A collection of resources and papers on Diffusion Models

Official implementation of the GRU4Rec algorithm in

Approaching (Almost) Any Machine Learning Problem

This repository contains code for paper GLocal-K: Global and Local Kernels for Recommender Systems, published in CIKM 2021

🌀 Stanford CS 228 - Probabilistic Graphical Models