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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.

c-sharp crf deep-learning dotnet lstm machine-learning nlp recurrent-neural-networks rnn rnn-model sequence-labeling

Last synced: 17 Aug 2024