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Fred Reiss

Fred Reiss
in
IBM Data Science in Practice

Easier Model Serving with zerocopy

Serving deep learning models is hard, but it doesn’t have to be that way.

Jun 25, 2022

Easier Model Serving with zerocopy

Jun 25, 2022

Fred Reiss
in
IBM Data Science in Practice

How to Load PyTorch Models 340 Times Faster with Ray

Ray’s Plasma object store can reduce the cost of loading deep learning models for inference almost to zero.

Aug 23, 2021

an adult cheetah running in a field of grass with a baby cheetah watching

Aug 23, 2021

Fred Reiss
in
IBM Data Science in Practice

An Easy Way to Add Flow Control to Ray Applications

One of the coolest features of the Ray framework for distributed computing is that it makes it easy to write high-performance applications…

Jul 8, 2021

Closeup of a valve and pressure gauge from a 1940s locomotive

Jul 8, 2021

Fred Reiss
in
IBM Data Science in Practice

Using Pandas DataFrames to analyze sentence structure

In this article, we show how to use Pandas DataFrames to extract useful structure from the parse trees of English-language sentences.

May 20, 2021

an oak tree on a hillside at sunset or sunrise

May 20, 2021

Fred Reiss
in
IBM Data Science in Practice

Market Intelligence with Pandas and IBM Watson

In this article, we’ll show how to perform an example market intelligence task using Watson Natural Language Understanding and our open…

Apr 29, 2021

Person sitting in front of a laptop and using it

Apr 29, 2021

Fred Reiss
in
IBM Data Science in Practice

Introducing Text Extensions for Pandas

This blog was written in collaboration with Willie Tejada, GM & Chief Developer Advocate for IBM.

Apr 8, 2021

Introducing Text Extensions for Pandas

Apr 8, 2021

Fred Reiss

Fred Reiss

Fred Reiss is a Principal Research Staff Member at IBM Research and Chief Architect at IBM’s Center for Open-Source Data and AI Technologies (CODAIT).

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