Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
Welcome to my personal website!
My name is Sebastian, and I am a machine learning and AI researcher with a strong passion for education. As Lead AI Educator at Lightning AI, I am excited about making AI & deep learning more accessible and teaching people how to utilize AI & deep learning at scale.
I am also an Assistant Professor of Statistics at the University of Wisconsin-Madison, focusing on deep learning and machine learning research. Have a look at my research projects if you'd like to find out more.
Moreover, I love open-source software and am a passionate contributor. Next to coding, I also love writing and authored the bestselling Python Machine Learning book and Machine Learning with PyTorch and Scikit-Learn.
Here's a link to my CV with more nitty-gritty details if you are interested.
News
June 16, 2022
We just launched Lighting AI today! Head over to lightning.ai to learn more about Lightning Apps, which enable you build everything from production-ready, multi-cloud ML systems to simple research demos.
May 23, 2022
IDEs, the terminal, Git+GitHub,... what do these have in common? They make us more productive and they are things I wish I had known when I started out in machine learning. William Falcon and I are excited to cover these tools in our Lightning Bits: Engineering for Researchers video series. !
May 12, 2022
Ben Lorica and I had fun discussing resources and libraries available to developers & software engineers who want to start using and deploying machine learning and deep learning. You can find it on The Data Exchange Podcast and YouTube!
May 10, 2022
The recordings of our talk "Introduction to PyTorch and Scaling PyTorch Code with LightningLite" is now on YouTube. You can check it out as a 3-part series here:
Apr 22, 2022
Had a fun time chatting with Rob Stevenson
on How AI
Happens!
Machine learning in academia vs industry, when to use machine learning vs deep learning, and yes,
TensorFlow vs PyTorch ... we got it all covered.
[Apple Podcasts
link] [Spotify link]
Apr 21, 2022
My colleague Adrian and I will be giving a talk on developing deep neural networks in PyTorch and how to scale them using LightningLite. The talk is on May 10th and free to attend, you can sign up on meetup.com here.
Apr 15, 2022
Just had a fun chat with Jay on his podcast where we talked about machine learning vs. deep learning, tools, interpretable machine learning, and more!
Apr 1, 2022
Excited to share our latest research! The cyclemoid activation function is inspired by cyclical learning rates and has nice mathematical properties to stabilize gradients. We achieved SOTA on several benchmarks!
Mar 31, 2022
Two years & twenty authors! Check out the fruitful outcome of our massive collaboration: Ten Quick Tips for Deep Learning in Biology.
Mar 28, 2022
Hey everyone, I'm so excited to share my recent interview on Advancing Hands-On Machine Learning Education with Sam Charrington for the TwiML.ai podcast. Check it out!
Feb 28, 2022
I am doing a little AMA on reddit @ r/MachineLearning this upcoming Friday (March 4th).
Happy to chat about my new book, academic research, or what I am currently up to at Grid.ai and PyTorch Lightning!
Feb 15, 2022
Only 10 more days until my new book, Machine Learning with PyTorch and Scikit-Learn is going to be released!
I couldn't be more excited, and together with Tushar Gupta at Packt, we will have a Book Launch livestream on February 23 (10:00 am ET), which will be streamed on LinkedIn and YouTube. You can sign up for a reminder here!
Feb 10, 2022
Really excited about the ReWork Deep Learning Summit in SF this week! It's been several years since I attended a conference, and I am really looking forward to it!
If you happen to be there, my colleagues at Grid.ai and PyTorch Lightning would be excited to chat about deep learning & AI!
PS: I am also giving a talk there on Thu at 9:35 am PT: "Customer Ratings, Letter Grades, and Other Rankings -- Using Deep Learning When Class Labels Have A Natural Order"
All News: 2021 ● 2020 ● 2019