Usersnap
BugHerd
Marker.io
Userback
Canny.io
Hotjar
Pastel
Frill
Papers with Code
ML5.js
arXiv
Spell
Lobe
ML Showcase
Apple Machine Learning Journal
Amazon Machine Learning
Usersnap is more than a platform to collect and manage feedback: we pave the road for customer-led growth. Usersnap helps digital products increase feedback interactions and gather insights on customer problems. How?
Usersnap empowers startups to agile enterprises to avoid failures and build products that matter, all with the clarity of customer feedback.
Usersnap Papers with CodeUsersnap is highly recommended for development and design teams, project managers, and customer support teams who need a reliable tool to gather feedback, track bugs, and ensure higher quality in their software development process.
Based on our record, Papers with Code seems to be a lot more popular than Usersnap. While we know about 100 links to Papers with Code, we've tracked only 4 mentions of Usersnap. 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.
We are using User Snap. https://usersnap.com/. Source: about 3 years ago
Https://usersnap.com/ could be an option. - Source: Hacker News / almost 4 years ago
Accelerate growth of your business with the right customer feedback! We provide some proven strategies and tactics to prioritize customer experience for increased revenue. Source: over 4 years ago
Indicate how well your product perform with the help of user feedback! This helps you to identify areas where you still fall short and improve them by taking active measures. Source: almost 5 years ago
Benchmark Primary focus Evaluation metrics System coverage Usability Link HumaneBench AI benchmark Human well being, humane AI principles HumaneScore, flip tests under adversarial instruction, long term well being 15 popular chat models tested across 800 realistic scenarios Designed for chatbot safety research; requires ensemble judging for... - Source: dev.to / 8 months ago
An helpful approach is to browse the state of the art models in paperswithcode. This will give you an idea of the performance of different models on various tasks. - Source: dev.to / almost 2 years ago
I think a way around this would some sort of voting/ popularity system? Papers with code (https://paperswithcode.com/) does this via Github stars sorting. Sure it doesn't mean something is established. But it at least gives some way to filter through the firehose of papers. Love this project btw! I think it has potential (and the timing is right now that everyone is looking for the next "attention is all... - Source: Hacker News / almost 2 years ago
Adapting to Evolving Standards: With the rapid progress in deep learning research and applications, staying current with the latest developments is crucial. The checklist underscores the importance of considering established standard architectures and leveraging current state-of-the-art (SOTA) resources, like paperswithcode.com, to guide project decisions. This dynamic approach ensures that projects benefit from... - Source: dev.to / about 2 years ago
Papers With Code is one of the good resources to get you to get started. - Source: dev.to / over 2 years ago
BugHerd - BugHerd: The Website Feedback Tool for Agencies
ML5.js - Friendly machine learning for the web
Marker.io - Visual feedback and bug reporting tool for websites
arXiv - arXiv is a free distribution service and an open-access archive for scholarly articles.
Userback - Userback empowers product teams to collect, understand, and act on user feedback with unprecedented speed and clarity.
Spell - Deep Learning and AI accessible to everyone