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D-ID might be a bit more popular than Apple Machine Learning Journal. We know about 8 links to it since March 2021 and only 6 links to 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.
Does anybody here have any idea about the technology and the steps used to create virtual speaking avatars like Sana and Lisa? I know paid tools like DID and Synthesia exist, but is this what was used to create Lisa and Sana? I am actually more interested in open-source techniques and free tools that can do the same. In fact, I would be happy to know only the names of the algorithms used at each step, if that's... Source: 11 months ago
d-id.com is commonly used for animating portrait images based on a voice audio track. I'm not aware how it's done for non-portrait images though. Source: about 1 year ago
Ill have to do ore research or testing. Thanks for d-id.com, will check it out! Source: about 1 year ago
Absolute quickest way would be to look at d-id.com . This does everything for you. Source: about 1 year ago
Mine too! I used d-id.com for the voice animation and put the images together in canva.com . Source: about 1 year 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
elai.io - AI-based solution that allows users to generate videos with a digital presenter from text
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Rephrase.ai - Create stunning videos leveraging AI with just text. Create engaging learning modules, product walk-throughs and more in minutes!
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Synthesia.io - Create AI videos by simply typing in text. Make engaging videos for e-learning, customer onboarding, etc. No need for actors, cameras or audio equipment.
Lobe - Visual tool for building custom deep learning models