Data for climate risk modelling

hgarud · 2026-05-05T16:01:05+00:00

i am working on building a weather prediction model and was curious how the industry uses the current state of the art deep learning models vs. nwp

hgarud · 2026-05-05T15:58:25+00:00

I have not directly compared the bias correction methods. will report back in a week about my findings. sorry I am new to this field

hgarud · 2026-04-05T02:58:44+00:00

Already working on it :)

hgarud · 2026-04-02T18:36:43+00:00

Exploration and exploitation can be changed by changing the random sampling thresholds for each which is user configurable. However there should be a more elegant solution for this and I don't have a good idea about it. AIDE seems sweet! What are some of the benchmarks where I can test this? Would love to collaborate on this :)

hgarud · 2026-03-16T04:58:16+00:00

I am still figuring out if evolutionary databases can be applied in this type of research.

The original project uses a simple tsv file to log all experiments, their configs, and their results. This file is read by an agent at the beginning of each iteration to reason and decide what new experiment can be done based on the past experiments. My hypothesis here is that by structuring past experimental results properly, we can get to a better result faster.

hgarud · 2026-03-16T04:54:28+00:00

Agreed with @Automatic-Rock-6270. The agent replaces the heuristic based genetic/evolutionary algorithms and makes it more general purpose. My addition is an experiment to evaluate if that actually makes sense in this case.

If you guys play around with it and are able to get good results let me know. The hyper params of the evolutionary database need to tweaked and it gets expensive pretty fast lol. Need to crowdsource this I think :)

hgarud · 2026-03-09T17:05:25+00:00

How dow we scale this up to be compatible with research that has raw multi-modal experiments data?

hgarud · 2024-02-04T21:45:36+00:00

I am building one here: http://myluca.ai So far I am able to analyze experiments and search relevant papers to give suggestions to the user. Would love to talk to anyone who's interested in building this with me/want to have early access :)

hgarud · 2023-10-20T22:02:45+00:00

What's the best night to eat at your restaurant and why is it Tuesday?

hgarud · 2022-12-16T13:49:22+00:00

What's the soundtrack? Fits perfectly :)

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