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7 search results found

Rnnsharp ⭐ 272

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 ⭐ 188

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.

Metatraderforecast ⭐ 114

RNN based Forecasting App for Meta Trader and similar trading platforms

Gradient Samples ⭐ 57

Samples for TensorFlow binding for .NET by Lost Tech

Air_writing ⭐ 18

Online Hand Writing Recognition using BLSTM

Seq2seqlearn ⭐ 16

C# Sequence to Sequence Learning with Attention using LSTM neural Networks

Weavenet ⭐ 16

使用C#编写的用于神经网络的计算图框架computational graph。带有cnn,bp,fcn,lstm,convlstm等示例。使用方法接近pytorch。

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