And canvas felt almost natural and invoked heavy nostalgia from the first time I touched keyboard and wrote primitive program to draw a house out of lines utilizing Basic. Later on I had a chance to broaden my expertise, when I was doing my hobby game project with Pixi and small bits and pieces on FindLabs pages. - Source: dev.to / about 2 months ago

The canvas in Obsidian is as the whole app very well made. I wondered what they are using as well. My guess is https://www.xyflow.com/, which is for drawing nodes. More general purpose would be http://fabricjs.com/. Or very low level https://pixijs.com/. - Source: Hacker News / 4 months ago

Https://pixijs.com/ and https://gsap.com/. All of the source code for my posts can be found at https://github.com/samwho/visualisations :). - Source: Hacker News / 5 months ago

For full web games (yeah, I come from the web, so I try to make my family proud), I will recommend PixiJS. It has great support for TypeScript and works very well with Vite. It's lighter than other game engines, so it's better for web games. But you will need to do a lot of things by yourself. - Source: dev.to / 7 months ago

Https://openarena.live/ There's also a bunch of Javascript game engines: https://github.com/collections/javascript-game-engines Or PixiJS for 2D: https://pixijs.com/. - 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: 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