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Facebook.ai might be a bit more popular than Amazon Machine Learning. We know about 2 links to it since March 2021 and only 2 links to Amazon Machine Learning. 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.
There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: over 1 year ago
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: about 3 years ago
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: about 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: over 1 year ago
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
A.I. Experiments by Google - Explore machine learning by playing w/ pics, music, and more
Lobe - Visual tool for building custom deep learning models
Apple Machine Learning Journal - A blog written by Apple engineers
Deep Learning Gallery - A curated list of awesome deep learning projects
ML5.js - Friendly machine learning for the web