Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/zhongkaifu/RNNSharp
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, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
https://github.com/zhongkaifu/RNNSharp
c-sharp crf deep-learning dotnet lstm machine-learning nlp recurrent-neural-networks rnn rnn-model sequence-labeling
Last synced: 3 months ago
JSON representation
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, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
- Host: GitHub
- URL: https://github.com/zhongkaifu/RNNSharp
- Owner: zhongkaifu
- License: bsd-3-clause
- Created: 2015-03-11T21:17:48.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2020-08-03T16:16:04.000Z (over 4 years ago)
- Last Synced: 2024-04-27T10:34:06.216Z (7 months ago)
- Topics: c-sharp, crf, deep-learning, dotnet, lstm, machine-learning, nlp, recurrent-neural-networks, rnn, rnn-model, sequence-labeling
- Language: C#
- Homepage:
- Size: 1.85 MB
- Stars: 283
- Watchers: 48
- Forks: 93
- Open Issues: 18
Awesome Lists containing this project
- awesome-ocr - RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling. It's written by C# language and based on .NET framework 4.6 or above version. RNNSharp supports many different types of RNNs, such as BPTT and LSTM RNN, forward and bi-directional RNNs, and RNN-CRF.