Karl Higley

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

lexrank-summarizer. A Spark-based LexRank extractive summarizer for text documents

ranking-metrics-torch. Simple ranking metrics for PyTorch on CPU or GPU

torch-optim-sparse. PyTorch optimizers with sparse momentum and weight decay

calibrator. An implementation of Harald Steck's Calibrated Recommendations approach to re-ranking

practicalrecs-examples. Example code for practicalrecs.com blog posts

latus. Nearest neighbor search with integrated filtering

torch-factorization-models. Factorization-based models for recommender systems with PyTorch

alder. A Ruby library for transforming nested hashes

hacksession. A web app for organizing a hack session with collaboration and coaching

py-pkg-template. A template for Python packages with poetry, pytest, Black, flake8, pylint, and pre-commit hooks

datagov-catalog. Data pipeline for a searchable catalog of open data

recommender_datasets. A common format and repository for various recommender datasets.

tensorflow. An Open Source Machine Learning Framework for Everyone