ClearFlask
Upvoty
Canny
Fider
Nolt
Prowess
hellonext.co
Noora
Apple Core ML
Amazon Machine Learning
TensorFlow Lite
Roboflow Universe
ML5.js
Machine Learning Playground
Lobe
Apple Machine Learning Journal
Keep your customers involved in your product development.
ClearFlask is an all-in-one product feedback platform to vote on feature requests, show off a development roadmap and keep everyone informed with announcements.
💬 Customer Feedback: Collect feedback from all your channels into a single funnel. Allow your users discuss and vote on ideas and join in the conversation.
⚖️ Prioritize your backlog: Powerful dashboard to manage incoming feedback and turn it into actionable, prioritized tasks.
🗒️ Public Roadmap: Show your progress and upcoming features in a product roadmap to get your users excited.
📢 Announcements: Let everyone know when you release a new feature. Activate users waiting for a particular feature.
TLDR: Close the feedback-loop between your product and your customers.
ClearFlask Apple Core MLNo features have been listed yet.
Based on our record, Apple Core ML should be more popular than ClearFlask. 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.
I am not sure if they are fully what you are after but I am aware of Fider, Cleardesk and astuto. Source: 12 months ago
- UserVoice (Market leader, enterprise only) - ClearFlask (Scalable pricing, customizable, I operate this one) - Canny (Scalable pricing, highly focused, great design). Source: about 3 years ago
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 / 2 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 / 4 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: 12 months 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 / 12 months ago
This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: over 2 years ago
Upvoty - User feedback in 1 simple overview 🔥
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Canny - Canny helps you collect and organize feature requests to better understand customer needs and prioritize your roadmap.
TensorFlow Lite - Low-latency inference of on-device ML models
Fider - Fider is an open source, cross platform and free to use customer feedback platform for companies...
Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.