dharma2018 Goto Github PK

006958

모두의 딥러닝 예제소스

aida

🤖💬Deep learning library for building conversational user experiences. Runs from the browser and works offline. Built with TensorflowJS and Keras

anago

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

atlas

Mirror of Apache Atlas

atlas-1

This repository is to help with the Partner Demonstration of the Apache Atlas project.

chatbot_data

Chatbot_data_for_Korean

chatito

🎯🗯 Generate datasets for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL!

customized_konlpy

Customized KoNLPy - Korean Natural Language Processing Toolkit KoNLPy wrapping code

deep-crf

An implementation of Conditional Random Fields (CRFs) with Deep Learning Method

deeppavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

derpybot

An active learning chatbot using Markov chains.

doc2vec

Python scripts for training/testing paragraph vectors

doccano

Open source text annotation tool for machine learning practitioner.

emnlp2017-bilstm-cnn-crf

BiLSTM-CNN-CRF architecture for sequence tagging

flask-chat-app-article

hadoop-vagrant

hadoop vagrant single node script

keras

Deep Learning for humans

koreaner

Bi-LSTM - CRF Named Entity Recognition model for Korean (Keras)

markovchain-chatbot-

마르코프 체인을 이용하여 슬랙 연동 한 챗봇.

modern-web-design-book

『모던 웹 사이트 디자인의 정석』 예제 코드

multilstm

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

neuroner

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

nlp-challenge

NLP Shared tasks (NER, SRL) using NSML

nlp.js

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

nm-chatbot

Neural Machine Chatbot using seq2seq

notebooks

collection of iPython notebooks

personal

play2-computerdb-mysql-scala

Play framework 2 sample app migrated to mysql

practical-hive

Source code for 'Practical Hive' by Scott Shaw, Andreas François Vermeulen, Ankur Gupta, and David Kjerrumgaard

research