smallevals — CPU-fast, GPU-blazing fast offline retrieval evaluation for RAG systems with tiny QA models.
Offline prototype for intent-aware queue adaptation in music recommendation systems
Production-simulated marketplace ranking system: IPS bias correction, hybrid candidate generation, exposure governance, delayed attribution, offline A/B simulation, 33 evidence artifacts.
Spotify-style music discovery platform with Spotify OAuth, hybrid recommendation, ALS, Word2Vec-style embeddings, explainable recommendations, and offline evaluation.
Offline RAG retrieval-quality harness. Recall@k, nDCG, MRR, chunking diagnostics, regression diffs. No LLM-as-judge required. CI-friendly.
a new method for offline evaluation of recommender systems
Neural Thompson Sampling contextual bandit for personalized Type 2 Diabetes therapy selection — training pipeline, offline policy evaluation (IPS/SNIPS/DM/DR), safety gates, drift monitoring, and LLM-generated clinical explanations.
Production-ready recommender system suite: serving API, pipelines, algorithm SDK, and evaluation tooling.
Add a description, image, and links to the offline-evaluation topic page so that developers can more easily learn about it.
To associate your repository with the offline-evaluation topic, visit your repo's landing page and select "manage topics."