Onur Yilmaz

Scalable data pre processing and curation toolkit for LLMs

Mamba SSM architecture

Ongoing research training transformer models at scale

NeMo: a framework for generative AI

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

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.

Dask cuML provides a set of multi-GPU machine learning algorithms from cuML that integrate into the Dask ecosystem.

cuML - RAPIDS Machine Learning Library