# mitmedialab/PersonalizedMultitaskLearning

<https://repo.masters-masters.com/en/repos/mitmedialab/PersonalizedMultitaskLearning>

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

mitmedialab/PersonalizedMultitaskLearning has 132 stars on GitHub. Its RepoMasters card: Prototype tier. Code for performing 3 multitask machine learning…

| Field | Value |
| --- | --- |
| Owner | [mitmedialab](https://repo.masters-masters.com/en/owners/mitmedialab) |
| Stars | 132 |
| Forks | 63 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2017 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [mitmedialab/PersonalizedMultitaskLearning](https://github.com/mitmedialab/PersonalizedMultitaskLearning) |

## Repository

Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR).

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.