Scale Nucleus
Aquarium
PerceptiLabs
ML Image Classifier
Google Cloud TPUs
Roboflow Universe
Touchpoint Dashboard
Pretrained AI
Amazon Machine Learning
Machine Learning Playground
Lobe
Apple Machine Learning Journal
ML5.js
Google Cloud Machine Learning
SIMON
TensorFlow
Amazon Machine Learning might be a bit more popular than Scale Nucleus. We know about 2 links to it since March 2021 and only 2 links to Scale Nucleus. 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.
At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: over 2 years ago
To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: almost 3 years ago
There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: over 1 year ago
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: about 3 years ago
Aquarium - Improve ML models by improving datasets they’re trained on
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
PerceptiLabs - A tool to build your machine learning model at warp speed.
Lobe - Visual tool for building custom deep learning models
ML Image Classifier - Quickly train custom machine learning models in your browser
Apple Machine Learning Journal - A blog written by Apple engineers
