
Papers with Code
ML5.js
arXiv
Spell
Lobe
ML Showcase
Apple Machine Learning Journal
Amazon Machine Learning
Encodify
Py
Enlight
Mimo
Free Code Camp
Quick Code
Programming Hub
100 Days of Code
Encodify is a global SaaS technology service and a market leader in Marketing Work Management.
In 2001, we pioneered the MarTech industry by devising the MWM category. Based on our no-code technology, we have since built industry-leading best-practice MWM solutions, allowing all stakeholders in the marketing value chain to collaborate efficiently. Today we are setting new standards by converging DAM/PIM (Content Hub), workflow, proofing, and project management tools to help clients innovate and optimise their work.
Encodify was founded and is headquartered in Odense, Denmark. As of today, we have over 80 employees and offices in Madrid, London and Copenhagen. Our clients include some of Europeโs most well-known brands, including El Corte Ingles, Jysk, and Netto, as well as agencies Tag Group and Hogarth. In 2020, Viking Venture (Norwegian) invested in Encodify to expand and develop business across Europe. The expansion includes both organic and (M&A) growth.
Papers with Code
EncodifyBased on our record, Papers with Code seems to be more popular. It has been mentiond 100 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.
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
ML5.js - Friendly machine learning for the web
Py - Learn to code on the go ๐ฑ
arXiv - arXiv is a free distribution service and an open-access archive for scholarly articles.
Enlight - Performance and Error Monitoring. We keep an eye on your applications and notify you about performance issues and errors.
Spell - Deep Learning and AI accessible to everyone
Mimo - Learn how to code on your iPhone๐ฑ