Tools to make your web dev life a bit easy.
⭐ Inspector
1) Inspect CSS and HTML just by hovering over the element.
2) Live edit CSS and HTML.
3) Export code to Codepen.
4) Inspect media queries and animations.
5) Edit the content of any HTML element.
6) Traverse DOM elements with arrow keys.
7) Know fonts per tag.
8) Finds font on Google Fonts.
9) Extract all the colors used on the page.
10) Toggle visibility of any element or remove an element from the page and persist changes.
11) Easily search elements by tag, class, or id.
⭐ Color Eyedropper 1) Pick colors from anywhere on the page, even images and IFrames. 2) Get hex and RGB values. 3) Save colors.
⭐ Assets 1) Extract images, SVGs, and videos from the page. 2) Download all the assets at once in ZIP.
⭐ Responsive 1) Any click, scroll, or navigation you perform in one device will be replicated to all devices in real-time. 2) Add new custom device profiles as you like and arrange devices to fit your style. 3) Hot-Reloading Support.
⭐ Debug 1) Clear cache, cookies, and local storage of specific origin or whole browser. 2) Get meta tags from the page and copy them with one click. 3) Check the whole page for spelling mistakes (Only supports English).
⭐ Screenshots 1) Take a screenshot of the whole page or just a visible area. 2) Screenshot the visible area of every tab with just one click. 3) Save the screenshot in PDF, JPG, or PNG.
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Https://machinelearning.apple.com Fun fact: Their first paper, Improving the Realism of Synthetic Images (2017; https://machinelearning.apple.com/research/gan), strongly hints at eye and hand tracking for the Apple Vision Pro released 5 years later. - Source: Hacker News / 9 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: almost 2 years 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 2 years ago
They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 3 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 3 years ago
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