Based on our record, GitHub seems to be a lot more popular than Scale Nucleus. While we know about 2083 links to GitHub, we've tracked only 2 mentions of 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.
I know sometime you might have wondered how websites such as GitHub and Dev do to make their image and description appear when you share their links through social medias on even some messaging applications as illustrated here in WhatsApp. - Source: dev.to / about 10 hours ago
GitHub: Explore repositories and projects to see how others are using TypeScript and Angular for Gantt chart development. - Source: dev.to / about 12 hours ago
If you don't already have a GitHub account, go to GitHub's website and sign up for free. Once you have your account, you're ready to create a new repository. - Source: dev.to / 1 day ago
Another standout talk for me was from GitHub, which discussed challenges with its design system, Primer. They went into detail about how organisational changes have altered the course of its development and how they've had to adjust to the needs of the business over time to adapt and grow. As an engineering lead, I really resonated with this talk. - Source: dev.to / 3 days ago
I have a script that looks at your github org/team and generates/updates users on-demand then lets you connect. The script is pretty straightforward, see AuthorizedKeysCommand and https://github.com/{$user}.keys. - Source: Hacker News / 3 days ago
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
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
PerceptiLabs - A tool to build your machine learning model at warp speed.
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
Aquarium - Improve ML models by improving datasets they’re trained on
Visual Studio Code - Build and debug modern web and cloud applications, by Microsoft
ML Image Classifier - Quickly train custom machine learning models in your browser