There are no reviews yet. Be the first to send feedback to the community and the maintainers!
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.Txt2Vec
Txt2Vec is a toolkit to represent text by vector. It's based on Google's word2vec project, but with some new features, such incremental training, model vector and so on.AdvUtils
Advanced Utility LibsLMSharp
Language modelSeqWebApps
The web application for sequence to sequence tasks powered by Seq2SeqSharpChatBot
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