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Papers with Code| Categories |
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| Website | paperswithcode.com |
Apple Machine Learning Journal| Categories |
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| Website | machinelearning.apple.com |
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Based on our record, Papers with Code seems to be a lot more popular than Apple Machine Learning Journal. While we know about 96 links to Papers with Code, we've tracked only 6 mentions of Apple Machine Learning Journal. 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.
Papers With Code is one of the good resources to get you to get started. - Source: dev.to / 1 day ago
For ML/DL papers you can check https://paperswithcode.com/. - Source: Hacker News / 4 months ago
This resource has been invaluable to me: https://paperswithcode.com/ From the past examples you give it sounds like you were into computer vision. There’s been a ton of developments since then, and I think you’d really enjoy the applications of some of those classic convolutional and variational encoder techniques in combination with transformers. A state of the art multimodal non-autoregressive neural net model... - Source: Hacker News / 4 months ago
And also you can find papers with their implementations in code here: http://paperswithcode.com. - Source: Hacker News / 4 months ago
Check out paperswithcode, scroll through arxiv, or browse some well-known conferences in the field (NeurIPS, ICML). Source: 5 months 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: 11 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: almost 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
ML5.js - Friendly machine learning for the web
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Lobe - Visual tool for building custom deep learning models
mlblocks - A no-code Machine Learning solution. Made by teenagers.
arXiv - arXiv is a free distribution service and an open-access archive for scholarly articles.