# pauljblazek/deepdistilling

<https://repo.masters-masters.com/en/repos/pauljblazek/deepdistilling>

[Home](https://repo.masters-masters.com/en) › [pauljblazek](https://repo.masters-masters.com/en/owners/pauljblazek) › [deepdistilling](https://repo.masters-masters.com/en/repos/pauljblazek/deepdistilling)

pauljblazek/deepdistilling has 104 stars on GitHub. Its RepoMasters card: Prototype tier. Mechanistically interpretable neurosymbolic AI (Nature Comput Sci…

| Field | Value |
| --- | --- |
| Owner | [pauljblazek](https://repo.masters-masters.com/en/owners/pauljblazek) |
| Stars | 104 |
| Forks | 7 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Topics | explainable-ai, program-synthesis, mechanistic-interpretability, inductive-logic-programming, model-distillation, distilling, neurosymbolic, domain-adaptation, out-of-distribution-generalization, interpretable |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [pauljblazek/deepdistilling](https://github.com/pauljblazek/deepdistilling) |

## Repository

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

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.