This tutorial introduces how to get started building baselines for Deep Learning using PyTorch Lightning Flash
What is PyTorch Lightning Flash?
PyTorch Lightning Flash is a new library from the creators of PyTorch Lightning to enable quick baselining of state-of-the-art Deep Learning tasks on new datasets in a matter of minutes.
Consistent with PyTorch Lightning’s goal of getting rid of the boilerplate, Flash aims to make it easy to train, inference, and fine-tune deep learning models.
Flash is built on top of PyTorch Lightning to abstract away the unnecessary boilerplate for common Deep Learning Tasks ideal for:
- Data science
- Kaggle Competitions
- Industrial AI
- Applied research
As such, Flash provides seamless support for distributed training and inference of Deep Learning models.
TL;DR PyTorch Lightning is being used by some pretty amazing community projects to do more with AI. In this series I will cover some of my favorite community projects that inspire me to do more with AI.
What is PyTorch Lightning?
TL;DR PyTorch Lightning is being used by some pretty amazing community projects to do more with AI. In this series I will cover some of my favorite community projects that inspire me to do more with AI.
TL;DR PyTorch Lightning is being used by some pretty amazing community projects to do more with AI. In this series I will cover some of my favorites community projects that inspire me to do more with AI.
TL;DR PyTorch Lightning is being used by some pretty amazing community projects to do more with AI. In this series I will cover some of my favorite community projects that inspire me to do more with AI.
Today, I am excited to announce that after 7 years of Open Source Engineering and Developer Relations at Microsoft, I am joining Grid.ai to build its Developer Advocacy organization.
I look forward to the challenge and am thrilled to demonstrate what a passionate Developer Advocacy organization can do for both Grid and the PyTorch Lightning communities.
What is Grid.ai?
Today is my last day at Microsoft. After almost 7 incredible years at Microsoft it’s time for me to move onto the next step in my professional career (more about that next week). It’s a bittersweet week but before the day is over I want to take this time to reflect and share my experiences.
I joined Microsoft in 2014 after finishing my first degree in Computer Science and History at small liberal arts college in Baltimore Maryland.
At the time, Microsoft was at a crossroads, trailing a distant 3rd in a mobile first world and recovering from a lukewarm…
TLDR; This post will walk through how to train and evaluate Azure ML AutoML Regressions model on your data using Azure Synapse Analytics Spark and SQL pools.
Before we get started let’s make sure we are all on the same page with the core Azure concepts needed to take your data to the next level.
If you are new to Azure you can get started a free subscription using the link below.
What is Azure Synapse Analytics?
Azure Synapse Analytics is an integrated service that accelerates extracting insightful across data warehouses and big data systems.
TL;DR This post outlines how to distribute PyTorch Lightning training on Distributed Clusters with Azure ML
Full end to end implementations can be found on the official Azure Machine Learning GitHub repo.
If you are new to Azure you can get started a free subscription using the link below.
Azure ML and PyTorch Lighting
TL;DR: This post demonstrates how to connect PyTorch Lightning logging to Azure ML natively with ML Flow.
Full end to end implementations can be found on the official Azure Machine Learning GitHub repo.
If you are new to Azure you can get started a free subscription using the link below.
Azure ML and PyTorch Lighting
Aaron (Ari) Bornstein
<Microsoft Open Source Engineer> I am an AI enthusiast with a passion for engaging with new technologies, history, and computational medicine.
