Apple Machine Learning Journal VS Noodl

For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: 12 months ago

We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago

They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / almost 2 years ago

They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago

Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago

Thx. Learned that noodl.net will be opensource next year, which is something I really like. For my planned SaaS to be successful it is important that my authoring tool will be easy to use and work reliable. So I really need to build a nice UI. What do you think? noodl.net , or weweb (or wappler, or drapcode) ? Source: 10 months ago

Has anyone built anything with Noodl? Curious to hear any reviews. Source: 10 months ago

Recently just discovered https://noodl.net. Source: over 1 year ago

You can host https://noodl.net apps yourself. They have handy guides on how to do it in their docs. Source: over 1 year ago