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Papers with Code PixaveI have a problem syncing my Pixave iPad library with the desktop version. After several messages to the developer over the last few weeks I have had no reply. Rather a shame as I have been using Pixave for many years.
Based on our record, Papers with Code seems to be more popular. It has been mentiond 96 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.
Papers With Code is one of the good resources to get you to get started. - Source: dev.to / 15 days ago
For ML/DL papers you can check https://paperswithcode.com/. - Source: Hacker News / 4 months ago
This resource has been invaluable to me: https://paperswithcode.com/ From the past examples you give it sounds like you were into computer vision. There’s been a ton of developments since then, and I think you’d really enjoy the applications of some of those classic convolutional and variational encoder techniques in combination with transformers. A state of the art multimodal non-autoregressive neural net model... - Source: Hacker News / 5 months ago
And also you can find papers with their implementations in code here: http://paperswithcode.com. - Source: Hacker News / 5 months ago
Check out paperswithcode, scroll through arxiv, or browse some well-known conferences in the field (NeurIPS, ICML). Source: 5 months ago
ML5.js - Friendly machine learning for the web
Eagle App - Unify your creative inspiration in one place. Store anything – inspiring images, design mockups, illustrations, screenshots and more.
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Inboard - Inboard is a Mac desktop application that helps organize your images. Perfected workflow
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Sparkbox - Everyone cares about the homepage, but the truth is that it can be a big time suck without a lot of benefit when you tackle it at the beginning of a project.