FROM LITERATURE & LATTE WEBSITE: Scrivener is the go-to app for writers of all kinds, used every day by best-selling novelists, screenwriters, non-fiction writers, students, academics, lawyers, journalists, translators and more. Tailor-made for long writing projects, Scrivener banishes page fright by allowing you to compose your text in any order, in sections as large or small as you like. Got a great idea but don't know where it fits? Write when inspiration strikes and find its place later. Grow your manuscript organically, idea by idea. In Scrivener, everything you write is integrated into an easy-to-use project outline. So working with an overview of your manuscript is only ever a click away, and turning Chapter Four into Chapter One is as simple as drag and drop. Need to refer to research? In Scrivener, your background material is always at hand, and you can open it right next to your work. Write a description based on a photograph. Transcribe an interview. Take notes about a PDF file or web page. Or check for consistency by referencing an earlier chapter alongside the one in progress. Once you're ready to share your work with the world, compile everything into a single document for printing, self-publishing, or exporting to popular formats such as Word, PDF, Final Draft or plain text. You can even share using different formatting, so that you can write in your favorite font and still satisfy those submission guidelines.
No Apple Machine Learning Journal videos yet. You could help us improve this page by suggesting one.
Based on our record, Apple Machine Learning Journal seems to be more popular. It has been mentiond 6 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.
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
Manuskript - Open-source tool for writers.
Amazon Machine Learning - Machine learning made easy for developers of any skill level
iA Writer - Minimal Design, Maximum Focus
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
yWriter - Free writing software designed by the author of the Hal Spacejock and Hal Junior series. yWriter6 helps you write a book by organising chapters, scenes, characters and locations in an easy-to-use interface.
Lobe - Visual tool for building custom deep learning models