# uber-research/differentiable-plasticity

<https://repo.masters-masters.com/en/repos/uber-research/differentiable-plasticity>

[Home](https://repo.masters-masters.com/en) › [uber-research](https://repo.masters-masters.com/en/owners/uber-research) › [differentiable-plasticity](https://repo.masters-masters.com/en/repos/uber-research/differentiable-plasticity)

uber-research/differentiable-plasticity has 416 stars on GitHub. Its RepoMasters card: Alpha tier. Implementations of the algorithms described in…

| Field | Value |
| --- | --- |
| Owner | [uber-research](https://repo.masters-masters.com/en/owners/uber-research) |
| Stars | 416 |
| Forks | 71 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Topics | ai, ml, differentiable-plasticity, machine-learning, machine-learning-algorithms |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [uber-research/differentiable-plasticity](https://github.com/uber-research/differentiable-plasticity) |

## Repository

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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