Apple Core ML
Amazon Machine Learning
TensorFlow Lite
Roboflow Universe
ML5.js
Alchemy by Fritz
QuickAI
3D semantic segmentation by Playment
Unleash
ConfigCat
LaunchDarkly
Flagsmith
Split.io
Optimizely
Hypertune
Growth Book
Apple Core ML UnleashBased on our record, Apple Core ML should be more popular than Unleash. It has been mentiond 7 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.
On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / 4 months ago
Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 6 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
> It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / about 1 year ago
This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: almost 3 years ago
So my first instinct is to setup some sorta feature-flag thing within a CMS so managers can flip the boolean, I'm exploring getunleash.io and GrowthBook.io and we already use Contentful.com within the app but they're saying they "really don't think we need to use any third party thing for a killswitch"... Source: 12 months ago
We are an Open Source Feature Flagging solution called Unleash, and we are looking to get some feedback from the community on a decision we are trying to make. We are considering offering our developers the option to either write technical content through a Community Content Program for us for a $200 fee, or to donate that amount to charity. Source: over 1 year ago
TLDR: Privacy is really important for us at Unleash. Here you will find the full story on how we ended up with an analytics solution that does not collect personal data and has very short retention. Whenever we evaluate a new feature at Unleash, we always start with one question. How does this fit with our values? This question is powerful. It can quickly qualify or disqualify a feature from consideration, putting... - Source: dev.to / almost 2 years ago
Have seen Unleash used: getunleash.io and people seemed happy with it. Source: almost 3 years ago
Amazon Machine Learning - Machine learning made easy for developers of any skill level
ConfigCat - ConfigCat is a developer-centric feature flag service with unlimited team size, awesome support, and a reasonable price tag.
TensorFlow Lite - Low-latency inference of on-device ML models
LaunchDarkly - LaunchDarkly is a powerful development tool which allows software developers to roll out updates and new features.
Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.
Flagsmith - Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source.
