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quanjiehan's Projects

agriculture_knowledgegraph icon agriculture_knowledgegraph

农业知识图谱(AgriKG):农业领域的信息检索,命名实体识别,关系抽取,智能问答,辅助决策

albert_zh icon albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

awesome-llm icon awesome-llm

Awesome-LLM: a curated list of Large Language Model

biobert icon biobert

Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

blink icon blink

Example file to blink the LED on an Arduino

camel icon camel

🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society

carqabot icon carqabot

基于汽车知识图谱的汽车问答多轮对话系统

casrel icon casrel

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

chatbot-depressiontherapy icon chatbot-depressiontherapy

Implemented a system using deep learning Recurrent neural network(LSTM) for detection and management of stress and depression and provide suggestions accordingly based on user’s mental condition. Technologies: Keras, gensim python libraries, anaconda environment

chinese-bert-wwm icon chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)

chinese-llama-alpaca icon chinese-llama-alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

chineseblue icon chineseblue

Chinese Biomedical Language Understanding Evaluation benchmark (ChineseBLUE)

conv-emotion icon conv-emotion

This repo contains implementation of different architectures for emotion recognition in conversations.

coref-hoi icon coref-hoi

PyTorch implementation of the end-to-end coreference resolution model with different higher-order inference methods.

crslab icon crslab

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

deep-learning-from-scratch-1 icon deep-learning-from-scratch-1

《深度学习入门-基于Python的理论与实现》,包含源代码和高清PDF(带书签);慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》;《菜菜的机器学习sklearn》

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,近30万字。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

depression-assistant-chatbot icon depression-assistant-chatbot

In this project, I extend the implementation of a Tweet/Sentence Sentiment Classification to a "Depression Assistant Chatbot". This software asks the users how they are feeling and if what they write expresses sadness of anger then they are greeted with jokes until they feel better.

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