# AvaLovelace1/BrickGPT

<https://repo.masters-masters.com/en/repos/AvaLovelace1/BrickGPT>

[Home](https://repo.masters-masters.com/en) › [AvaLovelace1](https://repo.masters-masters.com/en/owners/AvaLovelace1) › [BrickGPT](https://repo.masters-masters.com/en/repos/AvaLovelace1/BrickGPT)

AvaLovelace1/BrickGPT has 1,734 stars on GitHub. Its RepoMasters card: Beta tier. \[ICCV 2025 Best Paper\] Official repository for BrickGPT, the first approach…

| Field | Value |
| --- | --- |
| Owner | [AvaLovelace1](https://repo.masters-masters.com/en/owners/AvaLovelace1) |
| Stars | 1,734 |
| Forks | 114 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2025 |
| Topics | generative-ai, lego |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [AvaLovelace1/BrickGPT](https://github.com/AvaLovelace1/BrickGPT) |

## Repository

\[ICCV 2025 Best Paper\] Official repository for BrickGPT, the first approach for generating physically stable toy brick models from text prompts.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

## Nearby in Python

- [bearpaw/pytorch-classification · ★ 1,735 · Python · Beta](https://repo.masters-masters.com/en/repos/bearpaw/pytorch-classification)
- [zijundeng/pytorch-semantic-segmentation · ★ 1,735 · Python · Beta](https://repo.masters-masters.com/en/repos/zijundeng/pytorch-semantic-segmentation)
- [DeepMotionEditing/deep-motion-editing · ★ 1,734 · Python · Beta](https://repo.masters-masters.com/en/repos/DeepMotionEditing/deep-motion-editing)
- [GeoNode/geonode · ★ 1,733 · Python · Beta](https://repo.masters-masters.com/en/repos/GeoNode/geonode)
- [njvisionpower/Safety-Helmet-Wearing-Dataset · ★ 1,733 · Python · Beta](https://repo.masters-masters.com/en/repos/njvisionpower/Safety-Helmet-Wearing-Dataset)
- [tom-doerr/zsh\_codex · ★ 1,733 · Python · Beta](https://repo.masters-masters.com/en/repos/tom-doerr/zsh_codex)

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