# zhongkaifu/RNNSharp

<https://repo.masters-masters.com/en/repos/zhongkaifu/RNNSharp>

[Home](https://repo.masters-masters.com/en) › [zhongkaifu](https://repo.masters-masters.com/en/owners/zhongkaifu) › [RNNSharp](https://repo.masters-masters.com/en/repos/zhongkaifu/RNNSharp)

zhongkaifu/RNNSharp has 285 stars on GitHub. Its RepoMasters card: Alpha tier. RNNSharp is a toolkit of deep recurrent neural network which is widely used for…

| Field | Value |
| --- | --- |
| Owner | [zhongkaifu](https://repo.masters-masters.com/en/owners/zhongkaifu) |
| Stars | 285 |
| Forks | 91 |
| Language | [C\#](https://repo.masters-masters.com/en/languages/c-sharp) |
| License | BSD-3-Clause |
| Created | 2015 |
| Topics | rnn, crf, deep-learning, machine-learning, c-sharp, dotnet, sequence-labeling, rnn-model, recurrent-neural-networks, nlp |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [zhongkaifu/RNNSharp](https://github.com/zhongkaifu/RNNSharp) |

## Repository

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C\# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks…

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.