Business · GitHub ·209 ★

M2I

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

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Details

Author
Tsinghua-MARS-Lab
Category
Business
Platform
GitHub
Framework
custom
Language
python
Stars
209
First indexed
2026-05-15
Last active
2022-12-01
Directory sync
2026-05-15
@Tsinghua-MARS-Lab

Overview

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

Quick start

git

git clone https://github.com/Tsinghua-MARS-Lab/M2I

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What M2I can do

frameworkhr
  • Framework — framework task automation.
  • Hr — Handles people operations such as hiring and policy Q&A.

Frequently asked questions

What is M2I?
M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.
How do I install M2I?
Use git: `git clone https://github.com/Tsinghua-MARS-Lab/M2I`. Full setup details on the source page linked above.
Is M2I open source?
M2I is published on GitHub.
What are alternatives to M2I?
Comparable agents include awesome-llm-apps, vllm, aider. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for M2I is sourced from GitHub, published by Tsinghua-MARS-Lab.

Last scraped: · First indexed:

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