Browsersync VS Apple Machine Learning Journal

Browsersync Reviews

Apple Machine Learning Journal Reviews

Browsersync mentions (21)

• Eleventy vs. Next.js for static site generation

  Eleventy offers a great developer experience. For example, it includes an inbuilt --serve flag that uses Browsersync to enable serving the site locally and with hot reload upon file changes. This is a huge convenience. Another distinctive feature is its capability to choose from and combine up to ten different templating languages, such as JavaScript, Haml, Pug, Liquid, and more. - Source: dev.to / 5 months ago

• Deno 1.38: HTML doc generator and HMR

  I was looking for something like HMR for client side reloading a little while ago (HTML, CSS, etc), and ended up with just using the CLI of Browsersync[1] with a barebones config. It works, but feels shoehorned and wonky. It would be nice to do this with something native to Deno, which this HMR implementation seems to enable! 1. https://browsersync.io/. - Source: Hacker News / 6 months ago

• Materio Open Source Bootstrap 5 HTML Admin Template Is Here...!!🤩

  4.Now, that you are ready to run npm tasks, the below command will start the server and watch the code using browsersync. Open http://localhost:3000/ to check your development 🚀. - Source: dev.to / 8 months ago

• Simulate your website across many devices all in the same browser tab! Proof of concept for a micro saas I'm building in public :)

  I use browsersync to do this with an actual device. It's worth trying out if you haven't already. Source: about 1 year ago

• Email frameworks comparison in 2023

  Maizzle creates a Browsersync local instance and serves our templates in HTML form. Development in that form is okayish. +0,5 point. - Source: dev.to / about 1 year ago

Apple Machine Learning Journal mentions (6)

• Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]

  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

• Which papers should I implement or which Projects should I do to get an entry level job as a Computer vision engineer at MAANG ?

  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

• Apple’s secrecy created engineer burnout

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

• [D] Is anyone working on open-sourcing Dall-E 2?

  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

• How does Apple achieve both secrecy and quality for a release?

  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