# Tsinghua-MARS-Lab/M2I

<https://repo.masters-masters.com/en/repos/Tsinghua-MARS-Lab/M2I>

[Home](https://repo.masters-masters.com/en) › [Tsinghua-MARS-Lab](https://repo.masters-masters.com/en/owners/Tsinghua-MARS-Lab) › [M2I](https://repo.masters-masters.com/en/repos/Tsinghua-MARS-Lab/M2I)

Tsinghua-MARS-Lab/M2I has 211 stars on GitHub. Its RepoMasters card: Prototype tier. M2I is a simple but effective joint motion prediction framework through…

| Field | Value |
| --- | --- |
| Owner | [Tsinghua-MARS-Lab](https://repo.masters-masters.com/en/owners/Tsinghua-MARS-Lab) |
| Stars | 211 |
| Forks | 25 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | motion-prediction |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Tsinghua-MARS-Lab/M2I](https://github.com/Tsinghua-MARS-Lab/M2I) |

## Repository

M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.

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.