Karl Higley's repositories
ranking-metrics-torch
Simple ranking metrics for PyTorch on CPU or GPU
torch-optim-sparse
PyTorch optimizers with sparse momentum and weight decay
practicalrecs-examples
Example code for practicalrecs.com blog posts
torch-factorization-models
Factorization-based models for recommender systems with PyTorch
py-pkg-template
A template for Python packages with poetry, pytest, Black, flake8, pylint, and pre-commit hooks
recommender_datasets
A common format and repository for various recommender datasets.
tensorflow
An Open Source Machine Learning Framework for Everyone
dataloader
The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
docs
Milvus web documents and contents
feast
Feature Store for Machine Learning
janusgraph-movielens
An ETL pipeline to augment the Movielens dataset and ingest it into Janusgraph
milvus
An open source vector database powered by Faiss, NMSLIB and Annoy
PySyft
A library for encrypted, privacy preserving deep learning
syft-proto
The JSON proto file which defines types for all Serde encoding across languages
systems
Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature stores, nearest neighbor search, and exploration strategies) into end-to-end recommendation pipelines that can be served with Triton Inference Server.
Transformers4Rec
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.
triton-inference-core
The core library and APIs implementing the Triton Inference Server.
triton-inference-server
The Triton Inference Server provides an optimized cloud and edge inferencing solution.