Hacker News

Article URL: https://github.com/kamadorueda/alejandra

Comments URL: https://news.ycombinator.com/item?id=41597936

Points: 1

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Article URL: https://en.wikipedia.org/wiki/Lincoln_Battalion

Comments URL: https://news.ycombinator.com/item?id=41597935

Points: 1

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Article URL: https://www.seedtoscale.com/blog/kunal-shahs-delta-4-theory-of-successful-startups

Comments URL: https://news.ycombinator.com/item?id=41597932

Points: 1

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Article URL: https://www.triplit.dev/docs/offline-mode

Comments URL: https://news.ycombinator.com/item?id=41597930

Points: 1

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Article URL: https://travel.stackexchange.com/questions/26780/is-there-a-flight-search-engine-that-combines-flights-from-different-airlines

Comments URL: https://news.ycombinator.com/item?id=41597929

Points: 1

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Article URL: https://3quarksdaily.com/3quarksdaily/2024/09/the-paradoxical-efficient-market-hypothesis.html

Comments URL: https://news.ycombinator.com/item?id=41597928

Points: 1

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Article URL: https://tinyawards.net/

Comments URL: https://news.ycombinator.com/item?id=41597924

Points: 1

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Article URL: https://www.emilyomier.com/podcast/how-to-save-your-company-with-a-license-change-with-tyler-jewell

Comments URL: https://news.ycombinator.com/item?id=41597915

Points: 1

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I'm trying to get better at design, which is really challenge for someone like me with limited aesthetic sense. It really helps to learn by example -- by studying what others have done. Most of the "Design Inspiration" websites seem to be aimed at marketing type sites, but I'm really looking for application or platform design inspiration. This is a community of builders who build just those types of platforms, so it's a logical place to ask:

Which apps, websites, or platforms do you look to for design inspiration? Who do you think really nails both user experience and visual design? Which platforms manage to both look beautiful and work great?

Comments URL: https://news.ycombinator.com/item?id=41597908

Points: 1

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Article URL: https://www.economist.com/business/2024/09/05/the-mystery-of-the-cover-letter

Comments URL: https://news.ycombinator.com/item?id=41597907

Points: 1

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Article URL: https://guthib.mattbasta.workers.dev/

Comments URL: https://news.ycombinator.com/item?id=41597895

Points: 2

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Article URL: https://www.nature.com/articles/s41589-024-01729-8

Comments URL: https://news.ycombinator.com/item?id=41597885

Points: 1

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Article URL: https://www.cisa.gov/known-exploited-vulnerabilities-catalog

Comments URL: https://news.ycombinator.com/item?id=41597877

Points: 1

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Article URL: https://phys.org/news/2024-09-nature-chemistry-health.html

Comments URL: https://news.ycombinator.com/item?id=41597876

Points: 1

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Article URL: https://www.nature.com/articles/s41598-024-61321-x

Comments URL: https://news.ycombinator.com/item?id=41597864

Points: 1

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Article URL: https://cybersecurity.bsy.fel.cvut.cz/

Comments URL: https://news.ycombinator.com/item?id=41597856

Points: 3

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Article URL: https://www.cweagans.net/2024/09/the-only-four-github-pr-filters-you-need/

Comments URL: https://news.ycombinator.com/item?id=41597855

Points: 2

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We're excited to announce that we've open-sourced LeanRL, a lightweight PyTorch reinforcement learning library that provides recipes for fast RL training using torch.compile and CUDA graphs. By leveraging these tools, we've achieved significant speed-ups compared to the original CleanRL implementations - up to 6x faster!

Reinforcement learning is notoriously CPU-bound due to the high frequency of small CPU operations. PyTorch's powerful compiler can help alleviate these issues, but comes with its own costs. LeanRL addresses this challenge by providing simple recipes to accelerate your training loop and better utilize your GPU.

Key results: - 6.8x speed-up with PPO (Atari) - 5.7x speed-up with SAC - 3.4x speed-up with TD3 - 2.7x speed-up with PPO (continuous actions)

Why LeanRL?

- Single-file implementations of RL algorithms with minimal dependencies in the spirit of gpt-fast - All optimization tricks are explained in the README - no heavy doc, just simple tricks - Forked from the popular CleanRL library

Check out LeanRL on https://github.com/pytorch-labs/leanrl now!

Comments URL: https://news.ycombinator.com/item?id=41597676

Points: 2

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Article URL: https://www.youtube.com/watch?v=jTBOSob5MLg

Comments URL: https://news.ycombinator.com/item?id=41597664

Points: 1

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Article URL: https://arxiv.org/abs/2409.08831

Comments URL: https://news.ycombinator.com/item?id=41597663

Points: 1

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