Vibhu Jawa

Vibhu Jawa is a software engineer and data scientist on the RAPIDS team at NVIDIA, where his efforts are focused on building GPU-accelerated data science products. Prior to NVIDIA, Vibhu completed his M.S at Johns Hopkins where his research was focused on Natural Language Processing and building interpretable machine learning models for healthcare.
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Posts by Vibhu Jawa

Data Science

Introduction to Graph Neural Networks with NVIDIA cuGraph-DGL

Graph neural networks (GNNs) have emerged as a powerful tool for a variety of machine learning tasks on graph-structured data. These tasks range from node... 7 MIN READ
Data Science

Accelerating Sequential Python User-Defined Functions with RAPIDS on GPUs for 100X Speedups

Motivation Custom “row-by-row” processing logic (sometimes called sequential User-Defined Functions) is prevalent in ETL workflows. The sequential nature of... 3 MIN READ
Conversational AI

NLP and Text Processing with RAPIDS: Now Simpler and Faster

TL;DR: Google famously noted that “speed isn’t just a feature, it’s the feature,” This is not only true for search engines but all of RAPIDS. In this... 3 MIN READ
Simulation / Modeling / Design

Run State of the Art NLP Workloads at Scale with RAPIDS, HuggingFace, and Dask

TLDR: Learn how to use RAPIDS, HuggingFace, and Dask for high-performance NLP. See how to build end-to-end NLP pipelines in a fast and scalable way on GPUs.... 6 MIN READ