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Based on our record, Dokku should be more popular than Apple Machine Learning Journal. It has been mentiond 12 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Yeah there are a bunch of selfhostable things: Caprover (https://caprover.com/) Dokku (https://github.com/dokku/dokku. - Source: Hacker News / 3 months ago
Considering other orchestration tools like dokku, dcos, deis, flynn, docker swarm, etc.. Kubernetes is no where near to them in terms of lines of code, on an average those tools are around 100k-200k lines of code. Source: over 1 year ago
Other interesting projects to also follow: * Caprover * Dokku. Source: almost 2 years ago
If I could make a recommendation, it would be to give Dokku a try. (Disclaimer: not affiliated, but like the project so much I sponsor it. My opinions are biased towards it.). Source: almost 2 years ago
My next favorite option is to host on a DigitalOcean VM. You can use Dokku to get your own mini-Heroku PaaS, or manage the VM yourself (following Microsoft's documentation). You can get a $100 60-day credit from a referral link - A good way to get started. Source: about 2 years ago
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: about 1 year 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 / about 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
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