Design Principles
Atlassian Design
Facebook Design
Checklist Design
Laws of UX
Product Disrupt
Colorbox.io
Facebook Design Resources
Algorithmia
MCenter
5Analytics
Spell
neptune.ai
MuleSoft Anypoint Platform
Zapier
Datadog
Design Principles AlgorithmiaAlgorithmia is recommended for data scientists, machine learning engineers, and developers who need a flexible and scalable environment to deploy, manage, and share AI and machine learning models. It is particularly suitable for teams seeking to collaborate and leverage pre-built algorithms from a community-driven marketplace. Businesses looking to integrate machine learning capabilities into their operations without extensive infrastructure management will also benefit from Algorithmia's offerings.
Based on our record, Design Principles should be more popular than Algorithmia. It has been mentiond 9 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.
Your comment is an interesting one, and I can see how itโs be helpful for some folks who are just setting out in their careers. I was asking not about style guides, but the nuanced differences between heuristics, such as NNgโs, and design principles for decision-making: https://principles.design/. Source: almost 4 years ago
Principle Design is a Free Resource to learn more about designing better user interfaces and logos for your business. Access 195+ Examples and 1445 principles to learn more about design. (no-signup). Source: almost 4 years ago
Http://styleguides.io/ and https://principles.design/ are worth keeping an eye on, especially for trends that come up and to see what the industry is up to. Source: almost 4 years ago
Https://principles.design/ (collection, guiding ethos). Source: almost 4 years ago
Https://paperform.co/blog/principles-of-design/ https://principles.design/ https://99designs.com/blog/tips/principles-of-design/. - Source: Hacker News / about 4 years ago
To push a model into production, there are additional concerns which the tools in the versioning, deployment and release space aim to solve. This includes obtaining adequate infrastructure to run the model reliably and facilitating easy model release or rollback. Solutions in the MLOps space includes Kubeflow, Pachyderm and Algorithmia. - Source: dev.to / over 4 years ago
And for enterprises that want to do the same with ML you can use algorithmia.com. Source: over 4 years ago
Algorithmia advertises themselves as an MLops platform for data scientists, and they provide an easy way to host models on a scalable REST API. Source: over 4 years ago
Seems similar to https://algorithmia.com. Source: over 4 years ago
Algorithmia.com โ Host algorithms for free. Includes free monthly allowance for running algorithms. Now with CLI support. - Source: dev.to / about 5 years ago
Atlassian Design - Design, develop, and deliver
MCenter - Machine Learning Operationalization
Facebook Design - Resources for Designers from the Facebook Design team
5Analytics - The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.
Checklist Design - The best UI and UX practices for production ready design.
Spell - Deep Learning and AI accessible to everyone