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Am Neumarkt 😱

@amneumarkt

Technologies

Machine learning and other gibberish See also: https://sharing.leima.is Notebooks: https://datumorphism.leima.is

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Tag: #ml · 114 opslag

当前筛选 #ml清除筛选

Publiceret 18. jul.

#ml https://aryagxr.com/blogs/intro-to-nmc

197 views

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Publiceret 27. jun.

#ml Machine Learning Visualized — Machine Learning Visualized https://ml-visualized.com/?utm_source=substack&utm_medium=email

156 views

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Publiceret 25. aug.

#ml What’s Really Going On in Machine Learning? Some Minimal Models—Stephen Wolfram Writings https://writings.stephenwolfram.com/2024/08/whats-really-going-on-in-machine-learning-some-minimal-models/

215 views

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Publiceret 30. jul.

#ml Meta's second version of segment anything. https://github.com/facebookresearch/segment-anything-2 They have a nice demo: https://sam2.metademolab.com/

158 views

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Publiceret 7. jul.

#ml I was searching for a tool to visualize computational graphs and ran into this preprint. The hierarchical visualization idea is quite nice. https://arxiv.org/abs/2212.10774

150 views

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Publiceret 6. jul.

#ml Schmidhuber J. Deep Learning: Our Miraculous Year 1990-1991. In: arXiv.org [Internet]. 12 May 2020 [cited 7 Jul 2024]. Available: https://arxiv.org/abs/2005.05744

146 views

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Publiceret 9. maj

#ml https://github.com/google-research/timesfm

214 views

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Publiceret 16. feb.

#ml Like a dictionary Kunc, Vladim’ir, and Jivr’i Kl’ema. 2024. “Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks.” arXiv [Cs.LG], February. http://arxiv.org/abs/2402.09092.

206 views

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Publiceret 9. feb.

#ml I got interested in satellite data last year and played with it a bit. It's fantastic. The spatiotemporal nature of it brings up a lot of interesting questions. Then I saw this paper today: Rolf, Esther, Konstantin Klemmer, Caleb Robinson, and Hannah Kerner. 2024. “Mission Critical -- Satellite Data Is a Distinct Modality in Machine Learning.” arXiv [Cs.LG], February. http://arxiv.org/abs/2402.01444.

180 views

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Publiceret 5. feb.

#ml Jelassi S, Brandfonbrener D, Kakade SM, Malach E. Repeat after me: Transformers are better than state space models at copying. arXiv [cs.LG]. 2024. Available: http://arxiv.org/abs/2402.01032 Not surprising at all when you have direct access to a long context. But hey, look at this title.

190 views

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Publiceret 13. jan.

#ml Interesting idea to use Hydra in ML experiments. https://github.com/ashleve/lightning-hydra-template

189 views

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Publiceret 23. jun.

#ml Hand-Crafted Transformers HandCrafted.ipynb - Colaboratory https://colab.research.google.com/github/newhouseb/handcrafted/blob/main/HandCrafted.ipynb

270 views

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