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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.

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

Language model

SeqWebApps

The web application for sequence to sequence tasks powered by Seq2SeqSharp

ChatBot

A generative model based chatbot framework powered by Seq2SeqSharp

MedChat

An AI powered medical chatbot

qtanalyzer

Query Term Analyzer

TensorSharp

N-D array library for .NET with CPU and CUDA backends

ACL2022_KnowledgeNLP_Tutorial

Materials for ACL-2022 tutorial: Knowledge-Augmented Methods for Natural Language Processing

Civ6-YnAMP

Yet (not) Another Maps Pack for Civilization VI

CNTK

Microsoft Cognitive Toolkit (CNTK)

COVID-Dialogue

forza-painter

Import images into Forza

GFPGAN

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

managedCuda

ManagedCUDA aims an easy integration of NVidia's CUDA in .net applications written in C#, Visual Basic or any other .net language.

Models

nmt-list

A list of Neural MT implementations

Promptify

Prompt Engineering | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

pytorch_lstmcrf

Pytorch implementation of LSTM-CRF for named entity recognition

scratch

scratch

sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

spacy-transformers

🛸 spaCy pipelines for pre-trained BERT, XLNet and GPT-2

Tatoeba-Challenge

TCM-Ancient-Books

中医药古籍文本，近700项

vecmap

A framework to learn cross-lingual word embedding mappings

VisCPM

Chinese and English Multimodal Large Model Series (Chat and Paint) | 基于CPM基础模型的中英双语多模态大模型系列