So true !

This inexplicably blew up on HN a few weeks ago.

I personally found the generated audio not all that great especially classical. Clever idea though

Riffusion – Stable Diffusion fine-tuned to generate music https://news.ycombinator.com/item?id=33999162

Probably Not exactly what you wanted but two related tools:

Metaphor.systems —

https://metaphor.systems/ Write out a short sentence or paragraph that looks like it should continue with a link, and it produces a list of links that would best complete it. I’ve found a lot of interesting and relevant links through this.

Elicit —

https://elicit.org/ Ask a research question and get citations. Looks nice but haven’t used it much

Nice! I found this on hacker news: you can add an import in your python file and it generates explanations for exceptions:

Show HN: A Python package to get help from ChatGPT when an exception is thrown https://news.ycombinator.com/item?id=33911095

Odd thing about the abstract: suddenly says “video” near the end. Is it only for video data ?

Great work, and congrats!

If I may make a suggestion for future. Suppose I invested months in another RL framework, say SB3 along with its accompanying zoo (experiment manager, trainer etc), plus an elaborate HP tuning (e.g. with RayTune) code. It would be great if you can provide a recipe for how to surgically alter this type of sb3-based code to use CleanRL's model-implementation instead. Granted the recipe cannot address all needs, but even an example would be valuable. Essentially a type of "migration guide" from other frameworks.

Thanks !

Will this run on a cloud GPU provider (Jarvis, Lambda, TensorDock…)?

Technically, what you’re talking about is early stopping of “trials” in HP tuning. PBT is different — that involves changing the hyperparameter during training. And yes you can use PBT in tuning.

TalkRL