# ZhaoJ9014/Dynamic-Conditional-Networks.PyTorch

<https://repo.masters-masters.com/en/repos/ZhaoJ9014/Dynamic-Conditional-Networks.PyTorch>

[Home](https://repo.masters-masters.com/en) › [ZhaoJ9014](https://repo.masters-masters.com/en/owners/ZhaoJ9014) › [Dynamic-Conditional-Networks.PyTorch](https://repo.masters-masters.com/en/repos/ZhaoJ9014/Dynamic-Conditional-Networks.PyTorch)

ZhaoJ9014/Dynamic-Conditional-Networks.PyTorch has 154 stars on GitHub. Its RepoMasters card: Prototype tier. 🔥🔥A pytorch implementation of Dynamic…

| Field | Value |
| --- | --- |
| Owner | [ZhaoJ9014](https://repo.masters-masters.com/en/owners/ZhaoJ9014) |
| Stars | 154 |
| Forks | 32 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | conditional-model, few-shot-learning, deep-learning, dynamic-convolution, filter-bank |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ZhaoJ9014/Dynamic-Conditional-Networks.PyTorch](https://github.com/ZhaoJ9014/Dynamic-Conditional-Networks.PyTorch) |

## Repository

🔥🔥A pytorch implementation of Dynamic Convolutional Layer in Dynamic Conditional Convolutional Network for Few-Shot Learning🔥🔥

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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