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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
Home-Assistant.io - Home Assistant is an open-source home automation platform running on Python 3.
A.I. Experiments by Google - Explore machine learning by playing w/ pics, music, and more
ioBroker - flexible and modular application for the IoT and Smarthome
Talk to Books by Google - Browse passages from books using experimental AI
openHAB - "empowering the smart home" - vendor and technology agnostic open source home automation
