# dongyangli-del/EEG\_Image\_decode

<https://repo.masters-masters.com/en/repos/dongyangli-del/EEG_Image_decode>

[Home](https://repo.masters-masters.com/en) › [dongyangli-del](https://repo.masters-masters.com/en/owners/dongyangli-del) › [EEG\_Image\_decode](https://repo.masters-masters.com/en/repos/dongyangli-del/EEG_Image_decode)

dongyangli-del/EEG\_Image\_decode has 221 stars on GitHub. Its RepoMasters card: Prototype tier. \[NeurIPS 2024\] Using vision-language models to decode natural…

| Field | Value |
| --- | --- |
| Owner | [dongyangli-del](https://repo.masters-masters.com/en/owners/dongyangli-del) |
| Stars | 221 |
| Forks | 58 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2023 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [dongyangli-del/EEG\_Image\_decode](https://github.com/dongyangli-del/EEG_Image_decode) |

## Repository

\[NeurIPS 2024\] Using vision-language models to decode natural image perception from non-invasive brain recordings.

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.