No Stack Overflow Trends videos yet. You could help us improve this page by suggesting one.
Based on our record, Stack Overflow Trends seems to be a lot more popular than Scale Nucleus. While we know about 28 links to Stack Overflow Trends, 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.
It has, but it wasn't adopted by the pragmatists in that time. It's hard to tell if the early adopters adopted it either - It doesn't show up at all in the 2023 stack overflow survey (nor in the previous two years) - https://survey.stackoverflow.co/2023/#technology-most-popular-technologies - It doesn't show up in questions asked on Stackoverflow since 2008 -... - Source: Hacker News / 7 months ago
> In 2017 I had React projects in production for years. I doubt that. React wasn't stable until 2015, and wasn't mainstream until 2016. > And it only got worse and the overengineering to make it looks fast in the first load is not worth it as modern JS frameworks are faster than React out-of-the-box. Again, Next.js != React; the former builds on the latter, it doesn't replace it nor does it claim to be the same... - Source: Hacker News / 8 months ago
> Prior to Next.js, React was hard to setup and maintain No, it wasn't. > I started using Next.js in 2017. It made React a real production framework In 2017 I had React projects in production for years. > React was hard to setup and maintain and hard to make it go fast (on first load) And it only got worse and the overengineering to make it looks fast in the first load is not worth it as modern JS frameworks are... - Source: Hacker News / 8 months ago
Based on what? https://insights.stackoverflow.com/trends?tags=python%2Cjava. - Source: Hacker News / 10 months ago
Fair enough, my information is outdated. StackOverflow agrees. [1] [1] https://insights.stackoverflow.com/trends?tags=django%2Cruby-on-rails. - Source: Hacker News / 10 months 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
Community Questions for Confluence - Keep questions and answers in one place with an engaging, community-driven Q&A discussion forum, powered by Confluence
PerceptiLabs - A tool to build your machine learning model at warp speed.
Stack Roboflow - Coding questions pondered by an AI.
Aquarium - Improve ML models by improving datasets they’re trained on
Answer Bot by Intercom - Instant resolutions, happier customers
ML Image Classifier - Quickly train custom machine learning models in your browser