# tum-pbs/ConFIG

<https://repo.masters-masters.com/en/repos/tum-pbs/ConFIG>

[Home](https://repo.masters-masters.com/en) › [tum-pbs](https://repo.masters-masters.com/en/owners/tum-pbs) › [ConFIG](https://repo.masters-masters.com/en/repos/tum-pbs/ConFIG)

tum-pbs/ConFIG has 125 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICLR2025 Spotlight\] Official implementation of Conflict-Free Inverse Gradients…

| Field | Value |
| --- | --- |
| Owner | [tum-pbs](https://repo.masters-masters.com/en/owners/tum-pbs) |
| Stars | 125 |
| Forks | 10 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | continual-learning, deep-learning, multitask-learning, physics-informed-neural-networks, pinns |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [tum-pbs/ConFIG](https://github.com/tum-pbs/ConFIG) |

## Repository

\[ICLR2025 Spotlight\] Official implementation of Conflict-Free Inverse Gradients Method

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.