# Echo-Team-Joy-Future-Academy-JD/Echo-Memory

<https://repo.masters-masters.com/en/repos/Echo-Team-Joy-Future-Academy-JD/Echo-Memory>

[Home](https://repo.masters-masters.com/en) › [Echo-Team-Joy-Future-Academy-JD](https://repo.masters-masters.com/en/owners/Echo-Team-Joy-Future-Academy-JD) › [Echo-Memory](https://repo.masters-masters.com/en/repos/Echo-Team-Joy-Future-Academy-JD/Echo-Memory)

Echo-Team-Joy-Future-Academy-JD/Echo-Memory has 252 stars on GitHub. Its RepoMasters card: Alpha tier. Official code for Echo-Memory: a controlled study of…

| Field | Value |
| --- | --- |
| Owner | [Echo-Team-Joy-Future-Academy-JD](https://repo.masters-masters.com/en/owners/Echo-Team-Joy-Future-Academy-JD) |
| Stars | 252 |
| Forks | 15 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | CC-BY-4.0 |
| Created | 2026 |
| Topics | memory, world-models, video-generation, action-conditioned, computer-vision, diffusion-models, generative-ai, image-to-video, pytorch, spatial-memory |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Echo-Team-Joy-Future-Academy-JD/Echo-Memory](https://github.com/Echo-Team-Joy-Future-Academy-JD/Echo-Memory) |

## Repository

Official code for Echo-Memory: a controlled study of memory in action-conditioned video world models (Context, Compression, Spatial, State-Space).

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
