Past Meetup

[Hackathon] - Recurrent Neural Hacks!

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**This event is paid, please read the full description. To participate register here -


This idea has been percolating for quite a while in our minds, and it's finally live! We are hosting our first ML hackathon "Recurrent Neural Hacks"

As you all know, we've been doing (and will continue to do) AI Meetup Series where we bring together the industry leaders and technologists, and now we think we are ready to move forward and build things with the community.

This event is brought to you by NVIDIA Deep Learning Institute (

On July 16th, we are hosting the 24 hours hackathon that includes some awesome workshops and sponsor prizes! Here is the agenda* for the event:


Day 1

8:30 - Open Doors
9:50 - Opening Talk and Welcome Note
10:00 - Coding Starts!
10:00 - DIGITS demo, by NVIDIA (
10:30 - RNN Hands on lab with Torch by NVIDIA (
12:00*- Lunch
13:00 - Tensor Flow Workshop
13:00*- Snacks
14:00 - neon Workshop by Nervana (
15:00 - Pandas Data Exploration Workshop
16:00 - Scikit-learn Workshop
17:00* - Snacks
19:00* - Dinner

Day 2

3:00am* - Snacks
8:00am* - Breakfast
10:00 - Coding Stops! Submissions due
10:10 - Pitch session starts
12:20 - Third and second place announcement
12:30 - New GTX card announcement, the winner of the hackathon announcement
13:00 - Networking


We are excited to announce prizes provided by NVIDIA:

* 1st Prize – Mystery Jen-Hsun GTX!

* 2nd Prize – NVIDIA Shield Android TV

* 3rd Prize – NVIDIA Shield Tablet


Sarah Guo, Greylock Partners

Sarah joined Greylock in 2013. Prior to Greylock, Sarah was at Goldman Sachs, where she invested in Dropbox and helped take Workday public. She advised pre-IPO private technology companies (as well as public clients including Zynga, Netflix and Nvidia) on strategic and financial issues.

Steven Sinofsky, Andreessen Horowitz

A respected technologist and business leader, Steven Sinofsky is currently an investor, board member, and advisor to early stage companies (Product Hunt, Tanium, Everlaw, Box). He began his career at Microsoft in 1989. He started as a software design engineer in development tools. Working in product management, he grew to be one of the company's senior executives on Microsoft Office overseeing six major releases of the full range of Office apps and creation of Office servers. Most recently he served as President of the Windows division through 2012. In this role, he oversaw many of Microsoft's largest products, including the development of the Windows operating system, as well as Windows Services such as (, OneDrive and Identity. Sinofsky frequently comments on products, development, and management at his (, and on twitter, @stevesi. He earned a BA in Computer Science from Cornell and an MS from the University of Massachusetts, Amherst. Follow him @stevesi (

Bryan Smith, Chief Scientist at PokitDok

As Chief Scientist at PokitDok, Bryan Smith applies his expertise in advanced analytics, machine learning and interactive data visualization methods to lead Data Product development efforts mining healthcare data for insights on financial trends and behavioral patterns. He came to PokitDok from Sapient, where he led the Global Data Science Practice. Earlier in his career, he was Senior Machine Learning Scientist at Quid. Bryan holds a PhD in Neuroscience from Caltech.

Partner Workshops:

Nervana Systems brings us the workshop on their framework neon, presented by Anil Thomas.

Anil Thomas is a Kaggle champion (top rank #2) where he has applied his machine learning expertise to enterprise datasets, achieving near human level performance in some cases. He brings with him two decades of experience in the software industry. As a hands-on data scientist, he has experience building predictive models for business applications such as customer retention and demand forecasting. He is passionate about working with data, sourced from disparate domains

NVIDIA brings us 2 workshops: demo of DIGITS (15 min) and RNN Hands on lab (90min) - built in python, pulls cloud instanceChainer, Torch, brought by Leo Tam.

Leo Tam serves as the Deep Learning (DL) Solution Architect and Community Manager within the NVIDIA World Wide Solution Architecture Organization. Leo engages with DL developers, researchers, and startups as the content curator of the Deep Learning Institute. The DLI team works closely with NVIDIA Corporate Marketing, including social media marketing, industry business development teams, and NVIDIA engineering teams to create and deploy messaging, assets, tools and experiences,for DL Developers in various communities. They are the voice of Deep Learning Developers within NVIDIA providing detailed community feedback and research.



One of the goals for this hackathon is to learn and showcase the advancements of AI/ML/DL technologies. So all the projects have to use some sort of ML frameworks/libraries applied to new use cases. No one wants to see another tinder-like app.


All teams retain full ownership of what they have created during the hackathon.

Team Size

Teams of up to 5 people are allowed. We've rolled out a Slack channel for the AI Meetup Series, and we have a hackathon channel where you can discuss ideas and form teammates


A fresh code is required for Recurrent Neural Hackathon. Of course, using 3rd party services, APIs, open source projects, libraries, and frameworks is totally allowed.


We are having 2 rounds of pitch sessions:

1) Qualification sessions: We will compose small batches of 4-5 teams to choose the semi-finalist to present of the Finals

2) Finals: Teams that have passed qualification sessions will present their project in the final session.

No pitch deck is required. Showcase what you have done, and tell us the story

Have great mood and having fun is essential qualification criteria!

How to Participate:

To register and get tickets click here -

* This agenda is subject to change.