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stylegan2-pytorch
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
It's been available for several years. Spammers and scammers use it to pad out all their fake profiles. You can too!
https://thispersondoesnotexist.com/
(just keep refreshing)
This isn’t true, the quality of images generated by DALL-E are really good, but they are an incremental improvement and based on a long chain of prior work. See e.g. https://github.com/CompVis/latent-diffusion
Probably not enough RAM. The page isn't doing anything crazy, but includes a dozen or so example 's, which in turn can send Linux into an out-of-memory situation that freezes the system (technically it's still working just really slow). Ran into that issue a lot when browsing around with 8GB RAM, upgrading that helped. Installing earlyoom[1] is another workaround.
[1] https://github.com/rfjakob/earlyoom
this is remarkable. What are the implications for human generated art and entertainment world?
Combining these technologies and the cycle of progress will we soon (lets say within 2 decades) be able to
1. Generate music (e.g https://openai.com/blog/jukebox)