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Based on our record, Kivy seems to be a lot more popular than Facebook.ai. While we know about 46 links to Kivy, we've tracked only 2 mentions of Facebook.ai. 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.
We will create this complete Python registration form using Kivy. We get started by installing Kivy, a powerful Python framework for building interactive applications. - Source: dev.to / about 1 month ago
For reference, YouTube runs on Python[1,2,3]: > 1. Python and Django: YouTube’s backend is predominantly written in Python, offering a balance of performance and readability. > 2. Google Cloud Platform... > 3. Java and C++: YouTube also utilizes Java and C++ for specific backend services, as they provide better performance for certain tasks. --- A long time ago, I looked into these Python frameworks: -... - Source: Hacker News / 3 months ago
I suggest you use kivy which is suitable for the desktop but also has the advantage of being one of few options for creating Python based native(ish) mobile apps (for IoS and Android app stores). Source: 5 months ago
I think the best one right now for python is "beeware": https://beeware.org/ You also have Kivy which is prety good: https://kivy.org/. - Source: Hacker News / 5 months ago
I'm a big fan of https://kivy.org/ it looks modern and has a wide range of components. - Source: Hacker News / 8 months 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
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