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Based on our record, Scale Nucleus seems to be more popular. It has been mentiond 2 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.
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
Sonnet - A new library for constructing neural networks from DeepMind
PerceptiLabs - A tool to build your machine learning model at warp speed.
WP Offline Fallback - Clinging to your visitor, even if they lost the internet.
Aquarium - Improve ML models by improving datasets they’re trained on
Netflix - See what's next. Watch anywhere. Cancel anytime.
ML Image Classifier - Quickly train custom machine learning models in your browser