
Scale Nucleus
ML Image Classifier
Aquarium
Prodigy
mlblocks
PerceptiLabs
Machine Learning Playground
Roboflow Universe
SmartGit
GitKraken
SourceTree
GitHub Desktop
TortoiseGit
Fork
tig
git-cola
SmartGitSmartGit is ideal for software developers, DevOps professionals, and anyone who frequently works with Git version control systems. It is particularly useful for those who need a GUI-based solution to manage and visualize their repository workflows.
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 4 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: about 5 years ago
ML Image Classifier - Quickly train custom machine learning models in your browser
GitKraken - The intuitive, fast, and beautiful cross-platform Git client.
Aquarium - Improve ML models by improving datasets theyโre trained on
SourceTree - Mac and Windows client for Mercurial and Git.
Prodigy - Radically efficient machine teaching
GitHub Desktop - GitHub Desktop is a seamless way to contribute to projects on GitHub and GitHub Enterprise.