About us
The group's aim is to enable people to create and deploy their own Deep Learning models built using TensorFlow, PyTorch and JAX. We will look at a combination of both beginner and intermediate models to learn key skills - as well as going to the next level with presentations about cutting edge papers and techniques.
Ideally, each event will contain something for every level of experience - without having to explain neural networks 3-times over - and present models and code that you can play around with. Essentially, we plan on simplifying Deep Learning & other types of Machine Learning into usable skills for the real world.
Last, but not least, we're very proud to have the venue sponsored by Google.
Upcoming events
1
Robots : Reasoning and Acting
Google Developers Space, Singapore, 80 Pasir Panjang Rd, Singapore, SGRobots are improving at an increasing pace - due to improvements in hardware; simulation environments; and machine learning approaches at many levels : What if your Agents could take physical form?
Talks (subject to updates...):
"Building Robots + Systems in Singapore" - Yip Jia Qi
Since Jia Qi last talked at our meetup in 2023, he has been working at Menlo Research - who have recently open-sourced the Asimov humanoid robot (https://asimov.inc/diy-kit). In his talk, Jia Qi will talk about what has already been accomplished, and outline Menlo's (even more ambitious) goals."World [Action] Models" - Martin Andrews
Martin will be giving a high-level description of the World Model landscape (including GEPA) while also comparing them to other approaches for robotics applications.FOOD UPDATE : Google has told us that there WILL BE pizza at the event
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Talks will start at 7:10pm (entry at 6:45pm) and end at around 9:00pm, at which point attendees can come up to the front for a bit of a chat with each other, and the speakers.
Due to some recent security incidents at the venue please take note of the new DevSpace security procedures https://bit.ly/devspace-security
Attendees will not be admitted later than 15min after the talks have started.As always, we're actively looking for more speakers - both '30 minutes long-form', and lightning talks. For the lightning talks, we welcome folks to come and talk about something cool they've done with keras, PyTorch, JAX and/or Deep Learning for 5-10mins (so, if you have slides, then #max=10). We believe that the key ingredient for the success of a Lightning Talk is simply the cool/interesting factor. It doesn't matter whether you're an expert or an enthusiastic beginner: Given the responses we have had to previous talks, we're sure there are lots of people who would love to hear what you've been playing with. If you're interested in talking, please just introduce yourself to Martin at one of the events.
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