Discover @zhongkaifu Open Source projects

Zhongkai Fu (@zhongkaifu)

zhongkaifu

Stars
708
Global Rank 42,245 (Top 2 %)
Followers 165
Registered over 11 years ago
Most used languages

C#
100.0 %
Location 🇺🇸 United States
Country Total Rank 11,665
Country Ranking

C#
333

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 Libs

LMSharp

SeqWebApps

The web application for sequence to sequence tasks powered by Seq2SeqSharp

qtanalyzer

Query Term Analyzer

ChatBot

A generative model based chatbot framework powered by Seq2SeqSharp

MedChat

An AI powered medical chatbot