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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: about 2 hours 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: 2024-08-18T07:32:02.001Z (3 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: 285
- Watchers: 48
- Forks: 92
- Open Issues: 18