
Apache Karaf
Docker
Google App Engine
Amazon S3
AWS Elastic Beanstalk
Apache ServiceMix
Cisco CloudCenter
GlusterFS
Papers with Code
ML5.js
arXiv
Spell
Lobe
ML Showcase
Apple Machine Learning Journal
Amazon Machine Learning
Apache KarafBased on our record, Papers with Code seems to be a lot more popular than Apache Karaf. While we know about 100 links to Papers with Code, we've tracked only 1 mention of Apache Karaf. 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.
Apache Karaf with OSGi works pretty nice using annotation based dependency injection with the declarative services, removing the need to mess with those hopefully archaic XML blueprints. Too bad it's not as trendy as spring and the developers so many of the tutorials can be a bit dated and hard to find. Karaf also supports many other frameworks and programming models as well and there's even Red Hat supported... Source: over 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 / 9 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 / about 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
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
ML5.js - Friendly machine learning for the web
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
arXiv - arXiv is a free distribution service and an open-access archive for scholarly articles.
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
Spell - Deep Learning and AI accessible to everyone