Karl Higley karlhigley

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1. NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

   Python 1.2k 148

2. Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature stores, nearest neighbor search, and exploration strategies) in…

   Python 92 31

3. This repository contains the POPROX recommender code — the end-to-end logic for producing recommendations using article data, user histories and profiles, and trained models.

   Python 10 14

4. Spark-based approximate nearest neighbor search using locality-sensitive hashing

   Scala 103 23

5. Simple ranking metrics for PyTorch on CPU or GPU

   Python 15 2

6. PyTorch optimizers with sparse momentum and weight decay

   Python 10 1