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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.Seq2SeqSharp
Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.CRFSharp
CRFSharp is Conditional Random Fields implemented by .NET(C#), a machine learning algorithm for learning from labeled sequences of examples.AdvUtils
Advanced Utility LibsLMSharp
Language modelSeqWebApps
The web application for sequence to sequence tasks powered by Seq2SeqSharpqtanalyzer
Query Term AnalyzerChatBot
A generative model based chatbot framework powered by Seq2SeqSharpMedChat
An AI powered medical chatbotLove Open Source and this site? Check out how you can help us