Papers with Code
ML5.js
Amazon Machine Learning
Lobe
Machine Learning Playground
arXiv
mlblocks
Spell
Weights & Biases
neptune.ai
Algorithmia
Managed MLflow
Spell
Comet.ml
MCenter
LaunchKit - Open Source
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Based on our record, Papers with Code seems to be more popular. It has been mentiond 97 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.
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 / 3 days ago
Papers With Code is one of the good resources to get you to get started. - Source: dev.to / 2 months ago
For ML/DL papers you can check https://paperswithcode.com/. - Source: Hacker News / 6 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 / 6 months ago
And also you can find papers with their implementations in code here: http://paperswithcode.com. - Source: Hacker News / 6 months ago
ML5.js - Friendly machine learning for the web
neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.
Lobe - Visual tool for building custom deep learning models
Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.
