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 (11 months ago)

Commits 5 (last one 10 months ago)

Stargazers 82 (0 this week)

Watchers 4 (0 this week)

Forks 7

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RepositoryStats indexes 595,890 repositories, of these pauljblazek/deepdistilling is ranked #336,394 (44th percentile) for total stargazers, and #377,353 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #63,192/119,419.

pauljblazek/deepdistilling is also tagged with popular topics, for these it's ranked: explainable-ai (#89/171), knowledge-distillation (#87/159)

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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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updated: 2024-12-14 @ 05:33am, id: 742816473 / R_kgDOLEZ62Q