Name: Corey J. Nolet
Type: User
Company: @Nvidia @rapidsai
Bio: Senior data scientist & software architect on RAPIDS. EDA, Recsys, and representation learning enthusiast. I enjoy using data to make better sense of the world.
Twitter: cjnolet
Location: Maryland, USA
Blog: http://www.calrissian.org
Corey J. Nolet's Projects
Mirror of Apache Accumulo
A C++ Client for Accumulo
Useful patterns for interaction with Apache Accumulo
Fork of Apache/accumulo-wikisearch, with the goal of being simpler to setup and use.
Amazing Machine Learning Open Source Tools and Projects for the Past Year (v.2019)
Distributed multigrid linear solver library on GPU
Benchmarks of approximate nearest neighbor libraries in Python
Mirror of Apache Arrow
Deep learning based processing of Atac-seq data
A simple repository of tools for analyzing and running the big ann benchmarks
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
An open-source graph database
A toolkit of fun and useful cloud integrations
Course notes for CS228: Probabilistic Graphical Models.
CUB is a flexible library of cooperative threadblock primitives and other utilities for CUDA kernel programming.
cuDF - GPU DataFrame Library
cuGraph - RAPIDS Graph Analytics Library
cuML [alpha] - RAPIDS Machine Learning Library
NumPy-like API accelerated with CUDA
Custom iOS MapView Annotation Callouts in Swift
CUDA Templates for Linear Algebra Subroutines
cuVS - Vector Search and Clustering on the GPU
Parallel computing with task scheduling
Utilities for Dask and CUDA interactions
Dask support for distributed GDF object