I've been playing with deep fakes which is fun (I look good as Neo fighting Morpheus).
But what other fun + awesome open source projects can I run with it before I have to give it back?
I'm a programmer (making apps, websites, games etc). But don't have a lot of deep learning experience though want to learn.
Any suggestions?
Thanks!
I find it interesting because, in theory, the learned policies transfer to real-world robots, and the time is nigh for development in that area. Plus you get to watch it do funky robot shit and slowly get better.
If you want a quick way to dive in, I have a repo[2] I've been using to train on a variety of PCs and Google Colab[3]. The task is a Panda robot pushing a randomly placed object. I had some trouble getting it all working with recent Keras at first, so my repo might save you time.
Email me[4] if you get stuck.
[2] https://github.com/tlack/rl-experiments
[3] https://colab.research.google.com/drive/1HGmKMGwW_emok157ENr...
[4] lackner@gmail.com
Like you, I have barely any ML experience so it was nice to be able to still finish what I set out to achieve.
I write a simple tutorial and sample code base -> https://ajaxdavis.com/post/An-Open-Source-Computer-vision-mo...
Or for a real competition, the OpenAI ProcGen Benchmark is really heating up!
https://www.aicrowd.com/challenges/neurips-2020-procgen-comp...