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simons2017's Projects

ai-edu icon ai-edu

AI education materials for Chinese students, teachers and IT professionals.

bert icon bert

TensorFlow code and pre-trained models for BERT

bertsum icon bertsum

Code for paper Fine-tune BERT for Extractive Summarization

cocoa icon cocoa

Framework for learning dialogue agents in a two-player game setting.

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

generative-chatbot icon generative-chatbot

Chat-bot to answer the domain specific questions or to talk in human like way Chatbots are also called Conversational Agents or Dialog Systems. The Chatbot implemented in this paper is generative based. The basic algorithm used for developing Chatbot in this paper is Long Short Term Memory which a version of Recurrent Neural Network.

ml-nlp icon ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

opennmt-py icon opennmt-py

Open Source Neural Machine Translation in PyTorch

persona.chatbot icon persona.chatbot

simply implement "Personalizing Dialogue Agents: I have a dog, do you have pets too? "

pyrouge icon pyrouge

An interface to and, in time, a Python reimplementation of the ROUGE package for evaluating summarization

research icon research

novel deep learning research works with PaddlePaddle

simpletransformers icon simpletransformers

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

single-hop-rc icon single-hop-rc

An original implementation of ACL 2019, "Compositional Questions Do Not Necessitate Multi-hop Reasoning" (Single-hop Reading Comprehension Model based on BERT)

thred icon thred

The implementation of the paper "Augmenting Neural Response Generation with Context-Aware Topical Attention"

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