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Censius is an AI Observability Platform that enables enterprises of all sizes to confidently deploy their machine learning models into production. The company's flagship AI observability platform helps data science initiatives become more accountable and explainable. This all-in-one ML monitoring system allows you to proactively monitor end-to-end ML pipelines for drift, skew, data integrity, and data quality concerns.
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Based on our record, Facebook.ai seems to be more popular. It has been mentiond 2 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.
Many settings affect the outputs in interesting ways, but that's half the fun. These LoRAs are very lightly trained; more training may or may not help. The competitions are also performed using zero-shot text guessing, and if Facebook said it, you can bet that's actually Meta AI saying it, and they are leaders in the field. Source: over 1 year ago
You should look at the entire niche of MAE-related papers, that's quite exciting, and the neuroscience-inspired stream of stuff like Barlow Twins. As well, the official Facebook AI blog is surprisingly good coverage of much of the interesting un/semi-supervised DL research FAIR does, and worth going through. Source: almost 2 years ago
Lobe - Visual tool for building custom deep learning models
Evidently AI - Open-source monitoring for machine learning models
A.I. Experiments by Google - Explore machine learning by playing w/ pics, music, and more
iko.ai - Real-time collaborative notebooks on your own Kubernetes clusters to train, track, package, deploy, and monitor your machine learning models.
Talk to Books by Google - Browse passages from books using experimental AI
Bifrost Data Search - Find the perfect image datasets for your next ML project