# dfdx/Yota.jl

<https://repo.masters-masters.com/en/repos/dfdx/Yota.jl>

[Home](https://repo.masters-masters.com/en) › [dfdx](https://repo.masters-masters.com/en/owners/dfdx) › [Yota.jl](https://repo.masters-masters.com/en/repos/dfdx/Yota.jl)

dfdx/Yota.jl has 157 stars on GitHub. Its RepoMasters card: Prototype tier. Reverse-mode automatic differentiation in Julia Language: Julia.

| Field | Value |
| --- | --- |
| Owner | [dfdx](https://repo.masters-masters.com/en/owners/dfdx) |
| Stars | 157 |
| Forks | 12 |
| Language | [Julia](https://repo.masters-masters.com/en/languages/julia) |
| License | MIT |
| Created | 2018 |
| Topics | automatic-differentiation, machine-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [dfdx/Yota.jl](https://github.com/dfdx/Yota.jl) |

## Repository

Reverse-mode automatic differentiation in Julia

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.