# nmwsharp/neural-implicit-queries

<https://repo.masters-masters.com/en/repos/nmwsharp/neural-implicit-queries>

[Home](https://repo.masters-masters.com/en) › [nmwsharp](https://repo.masters-masters.com/en/owners/nmwsharp) › [neural-implicit-queries](https://repo.masters-masters.com/en/repos/nmwsharp/neural-implicit-queries)

nmwsharp/neural-implicit-queries has 182 stars on GitHub. Its RepoMasters card: Prototype tier. Queries on neural implicit surfaces via range analysis: ray…

| Field | Value |
| --- | --- |
| Owner | [nmwsharp](https://repo.masters-masters.com/en/owners/nmwsharp) |
| Stars | 182 |
| Forks | 8 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [nmwsharp/neural-implicit-queries](https://github.com/nmwsharp/neural-implicit-queries) |

## Repository

Queries on neural implicit surfaces via range analysis: ray casting, intersection, closest point, & more. SIGGRAPH 2022 paper. JAX implementation.

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.