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Nick Ball

Dr. Nick Ball is a generalist data scientist who joined Paperspace in November 2020. He has been using machine learning since 2000, first in academia (astrophysics), then in Silicon Valley since 2013.

San Francisco Bay Area

Articles

Featured public

Deep Learning

Multi-GPU on raw PyTorch with Hugging Face’s Accelerate library

In this article, we examine HuggingFace's Accelerate library for multi-GPU deep learning. We apply Accelerate with PyTorch and show how it can be used to simplify transforming raw PyTorch into code that can be run on a distributed machine system.

By Nick Ball

• 3 years ago

Featured public

Tutorial

Decision Transformers with Hugging Face

In this post, readers will see how to implement a decision transformer with OpenAI Gym on a Gradient Notebook to train a hopper-v3 "robot" to hop forward over a horizontal boundary as quickly as possible.

By Nick Ball

• 3 years ago

Featured public

NLP

GPT-NeoX: A 20 Billion Parameter NLP Model on Gradient Multi-GPU

Follow this guide to learn how to set up and use GPT-NeoX-20B within Paperspace Gradient to generate text in response to an inputted prompt.

By Nick Ball

• 3 years ago

Featured public

TensorFlow

Multi-GPU on Gradient: TensorFlow Distribution Strategies

Follow this guide to see how to run distributed training with TensorFlow on Gradient Multi-GPU powered instances!

By Nick Ball

• 3 years ago

Featured public

Deployment

Create and Deploy a Model to Production Using Gradient

This guide demonstrates what the Gradient Deployments resource is capable of, and provides a succinct guide to creating your own deployment and interacting with it using Workflows.

By Nick Ball

• 3 years ago

Featured public

Workflows

Using Gradient Workflows in Production: Updating our Public Datasets

How to use Gradient Workflows in production to update a dataset in cloud storage.

By Nick Ball

• 3 years ago

Featured public

Gradient

End-to-end Data Science with Gradient Workflows: StyleGAN2

This is a guide for using StyleGAN2 with Gradient Workflows to generate novel images.

By Nick Ball

• 3 years ago

Featured public

NLP

NLP Text Generation Using Gradient Workflows and GitHub

In this article, we discuss how to run Gradient Workflows with GPT-2 to generate novel text.

By Nick Ball

• 3 years ago

public

Tutorial

End-to-End Recommender System with Gradient - Part 6: Conclusion and Next Steps

In this final part of the six-part series, we recap the main points from the series, and point to next steps, both for this work in terms of other things that Gradient can do, and for the reader who would like to learn more.

By Nick Ball

• 3 years ago

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Blog

Docs

Community

ML Showcase

Professional Services

Talk to an Expert

Multi-GPU on raw PyTorch with Hugging Face’s Accelerate library

Decision Transformers with Hugging Face

GPT-NeoX: A 20 Billion Parameter NLP Model on Gradient Multi-GPU

Multi-GPU on Gradient: TensorFlow Distribution Strategies

Create and Deploy a Model to Production Using Gradient

Using Gradient Workflows in Production: Updating our Public Datasets

End-to-end Data Science with Gradient Workflows: StyleGAN2

NLP Text Generation Using Gradient Workflows and GitHub

End-to-End Recommender System with Gradient - Part 6: Conclusion and Next Steps

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