Alternatives and similar repositories for RNNSharp

Users that are interested in RNNSharp are comparing it to the libraries listed below

• zhongkaifu / CRFSharp
  CRFSharp is Conditional Random Fields implemented by .NET(C#), a machine learning algorithm for learning from labeled sequences of exampl…
  ☆121Updated 4 years ago
• zhongkaifu / 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 t…
  ☆68Updated 9 years ago
• andrewfry / SharpML-Recurrent
  Neural network library (LSTM) based off of RecurrentJs
  ☆55Updated 6 years ago
• eabdullin / Word2Vec.Net
  implementation Word2Vec for .Net framework
  ☆129Updated 5 years ago
• sergey-tihon / Stanford.NLP.NET
  Stanford NLP for .NET
  ☆606Updated last year
• primaryobjects / deep-learning
  Simple example of using the Accord .NET C# library to implement a deep-learning neural network (deep belief network) with machine learnin…
  ☆59Updated 2 years ago
• sethjuarez / numl
  Machine Learning for .NET
  ☆430Updated 6 years ago
• AlexPoint / OpenNlp
  Open source NLP tools (sentence splitter, tokenizer, chunker, coref, NER, parse trees, etc.) in C#
  ☆286Updated 3 years ago
• cesarsouza / keras-sharp
  Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK
  ☆244Updated 4 years ago
• zhongkaifu / Seq2SeqSharp
  Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such…
  ☆204Updated last month
• adamtiger / NNSharp
  Library for running neural networks.
  ☆49Updated 2 years ago
• jdermody / brightwire
  Bright Wire is an open source machine learning library for .NET with GPU support (via CUDA)
  ☆126Updated this week
• foreverzet / Sharpkit.Learn
  ☆31Updated 11 years ago
• JonathanRaiman / theano_lstm
  Nano size Theano LSTM module
  ☆303Updated 8 years ago
• bhrnjica / anndotnet
  ANNdotNET - deep learning tool on .NET Platform.
  ☆128Updated last year
• nicolas-ivanov / seq2seq_chatbot_links
  Links to the implementations of neural conversational models for different frameworks
  ☆271Updated 7 years ago
• zhangzibin / char-rnn-chinese
  Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/…
  ☆189Updated 8 years ago
• jiweil / Hierarchical-Neural-Autoencoder
  ☆218Updated 9 years ago
• zhangyafeikimi / word2vec-win32
  A word2vec port for Windows.
  ☆47Updated 8 years ago
• largelymfs / paragraph2vec
  ☆70Updated 10 years ago
• michaelfarrell76 / End-To-End-Generative-Dialogue
  A neural conversation model
  ☆138Updated 9 years ago
• mesnilgr / is13
  RNN for Spoken Language Understanding
  ☆428Updated 5 years ago
• dajuric / accord-net-extensions
  Advanced image processing and computer vision algorithms made as fluent extensions and built for portability
  ☆343Updated 9 years ago
• niitsuma / word2vec-keras-in-gensim
  word2vec uisng keras inside gensim
  ☆206Updated 8 years ago
• magic282 / MXNMT
  MXNet based Neural Machine Translation
  ☆118Updated 6 years ago
• dansoutner / LSTM
  LSTM Neural Network in Python and Cython, used for language modelling
  ☆129Updated 9 years ago
• cbovar / ConvNetSharp
  Deep Learning in C#
  ☆469Updated 5 months ago
• tmteam / Word2vec.Tools
  .Net Implementation for google word2vec tools.
  ☆37Updated 2 years ago
• abhyudaynj / LSTM-CRF-models
  LSTM-CRF models for sequence labeling in text.
  ☆174Updated 7 years ago
• paarthneekhara / byteNet-tensorflow
  ByteNet for character-level language modelling
  ☆319Updated 7 years ago