Pinned Repositories
ai-edu
AI education materials for Chinese students, teachers and IT professionals.
bert
TensorFlow code and pre-trained models for BERT
BertSum
Code for paper Fine-tune BERT for Extractive Summarization
bottom-up-summary
cocoa
Framework for learning dialogue agents in a two-player game setting.
cs224n-learning-camp
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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
dialogue-utterance-rewriter
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.
Joint-Extraction-of-Entities-and-Relations-Based-on-a-Novel-Tagging-Scheme
Joint Extraction of Entities and Relations Based on cnn+rnn
Simons2017's Repositories
Simons2017/ai-edu
AI education materials for Chinese students, teachers and IT professionals.
Simons2017/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.
Simons2017/bert
TensorFlow code and pre-trained models for BERT
Simons2017/BertSum
Code for paper Fine-tune BERT for Extractive Summarization
Simons2017/bottom-up-summary
Simons2017/cocoa
Framework for learning dialogue agents in a two-player game setting.
Simons2017/cs224n-learning-camp
Simons2017/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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Simons2017/dialogue-utterance-rewriter
Simons2017/Joint-Extraction-of-Entities-and-Relations-Based-on-a-Novel-Tagging-Scheme
Joint Extraction of Entities and Relations Based on cnn+rnn
Simons2017/knowledge-driven-dialogue
baseline system of knowledge driven dialogue competition
Simons2017/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。
Simons2017/my_bert
Simons2017/OpenNMT-py
Open Source Neural Machine Translation in PyTorch
Simons2017/persona.chatbot
simply implement "Personalizing Dialogue Agents: I have a dog, do you have pets too? "
Simons2017/pyrouge
An interface to and, in time, a Python reimplementation of the ROUGE package for evaluating summarization
Simons2017/Research
novel deep learning research works with PaddlePaddle
Simons2017/simpletransformers
Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Simons2017/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)
Simons2017/THRED
The implementation of the paper "Augmenting Neural Response Generation with Context-Aware Topical Attention"
Simons2017/Towards-Implicit-Content-Introducing-for-Generative-Short-Text-Conversation-Systems
Simons2017/triplets-extraction
Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme