# VicenteVivan/geo-clip

<https://repo.masters-masters.com/en/repos/VicenteVivan/geo-clip>

[Home](https://repo.masters-masters.com/en) › [VicenteVivan](https://repo.masters-masters.com/en/owners/VicenteVivan) › [geo-clip](https://repo.masters-masters.com/en/repos/VicenteVivan/geo-clip)

VicenteVivan/geo-clip has 415 stars on GitHub. Its RepoMasters card: Alpha tier. This is an official PyTorch implementation of our NeurIPS 2023 paper…

| Field | Value |
| --- | --- |
| Owner | [VicenteVivan](https://repo.masters-masters.com/en/owners/VicenteVivan) |
| Stars | 415 |
| Forks | 52 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | deep-learning, geolocalization, geolocation-estimation, machine-learning, pytorch, gps-embeddings, geography |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [VicenteVivan/geo-clip](https://github.com/VicenteVivan/geo-clip) |

## Repository

This is an official PyTorch implementation of our NeurIPS 2023 paper "GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization"

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.