# parthatalukdar/junto

<https://repo.masters-masters.com/en/repos/parthatalukdar/junto>

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

parthatalukdar/junto has 155 stars on GitHub. Its RepoMasters card: Prototype tier. This toolkit consists of implementations of various graph-based…

| Field | Value |
| --- | --- |
| Owner | [parthatalukdar](https://repo.masters-masters.com/en/owners/parthatalukdar) |
| Stars | 155 |
| Forks | 52 |
| Language | [Java](https://repo.masters-masters.com/en/languages/java) |
| License | Apache-2.0 |
| Created | 2011 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [parthatalukdar/junto](https://github.com/parthatalukdar/junto) |

## Repository

This toolkit consists of implementations of various graph-based semi-supervised learning (SSL) algorithms. Currently, three algorithms are implemented: Gaussian Random Fields (GRF), Adsorption, and Modified Adsorption (MAD). Junto also contains Hadoop-based implementations of these three 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.