pauljblazek / deepdistilling

Mechanistically interpretable neurosymbolic AI (Nature Comput Sci 2024): losslessly compressing NNs to computer code and discovering new algorithms which generalize out-of-distribution and outperform human-designed algorithms

Date Created 2024-01-13 (10 months ago)

Commits 5 (last one 9 months ago)

Stargazers 79 (0 this week)

Watchers 4 (0 this week)

Forks 7

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RepositoryStats indexes 584,353 repositories, of these pauljblazek/deepdistilling is ranked #340,473 (42nd percentile) for total stargazers, and #373,290 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #63,678/116,326.

pauljblazek/deepdistilling is also tagged with popular topics, for these it's ranked: explainable-ai (#89/169), knowledge-distillation (#89/157)

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Homepage URL: https://rdcu.be/dy2Go

All Topics

distilling interpretable neurosymbolic explainable-ai domain-adaptation program-synthesis model-distillation knowledge-distillation inductive-logic-programming mechanistic-interpretability out-of-distribution-generalization

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5 commits on the default branch (main) since jan '22

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updated: 2024-11-19 @ 07:37am, id: 742816473 / R_kgDOLEZ62Q