# hav4ik/Hydra

<https://repo.masters-masters.com/en/repos/hav4ik/Hydra>

[Home](https://repo.masters-masters.com/en) › [hav4ik](https://repo.masters-masters.com/en/owners/hav4ik) › [Hydra](https://repo.masters-masters.com/en/repos/hav4ik/Hydra)

hav4ik/Hydra has 148 stars on GitHub. Its RepoMasters card: Prototype tier. Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented…

| Field | Value |
| --- | --- |
| Owner | [hav4ik](https://repo.masters-masters.com/en/owners/hav4ik) |
| Stars | 148 |
| Forks | 16 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | deep-learning, multi-task-learning, neural-architecture-search, pytorch, multi-objective-optimization |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [hav4ik/Hydra](https://github.com/hav4ik/Hydra) |

## Repository

Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.

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.