These are “hands on” in the sense that you can replicate the results just by pasting in the same code. It’s kind of like a tutorial notebook in essay form.
In my experience the best place to have informal ai discussions is Twitter. The community is shockingly helpful. Follow @jonathanfly, @roadrunning01, @pbaylies and whoever pops up in the stuff they post. Roadrunning in particular posts tweets of the form “here’s some research; here’s the code” often with an interactive notebook.
https://www.gwern.net/GPT-2
https://www.gwern.net/Faces
These are “hands on” in the sense that you can replicate the results just by pasting in the same code. It’s kind of like a tutorial notebook in essay form.
Speaking of tutorial notebooks, pbaylies’ stylegan-encoder is quite good and you can run it on colab: https://colab.research.google.com/github/pbaylies/stylegan-e...
(Set runtime to GPU up in the menu.)
https://github.com/pbaylies/stylegan-encoder
In my experience the best place to have informal ai discussions is Twitter. The community is shockingly helpful. Follow @jonathanfly, @roadrunning01, @pbaylies and whoever pops up in the stuff they post. Roadrunning in particular posts tweets of the form “here’s some research; here’s the code” often with an interactive notebook.