Scale Nucleus
Aquarium
PerceptiLabs
ML Image Classifier
Google Cloud TPUs
Roboflow Universe
Touchpoint Dashboard
Pretrained AI
Paperspace Gradient
Renderro
Amazon Machine Learning
Lobe
Apple Machine Learning Journal
Machine Learning Playground
OpenAI Universe
Deep Learning Gallery
Based on our record, Scale Nucleus should be more popular than Paperspace Gradient. 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
Yeah, seems so to me. Add it to the list. https://cloud.google.com/notebooks https://notebooks.azure.com/ https://aws.amazon.com/emr/features/notebooks https://colab.research.google.com/ https://www.kaggle.com/code https://gradient.paperspace.com/. - Source: Hacker News / almost 3 years ago
Aquarium - Improve ML models by improving datasets they’re trained on
Renderro - Powerful cloud desktop for creatives like you.
PerceptiLabs - A tool to build your machine learning model at warp speed.
Amazon Machine Learning - Machine learning made easy for developers of any skill level
ML Image Classifier - Quickly train custom machine learning models in your browser
Lobe - Visual tool for building custom deep learning models
