Louis_Zhang's repositories

2019-nCov-SIRmodel

2019新冠肺炎疫情染病人数预测,用SIR模型。

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BERT-BiLSTM-CRF-NER

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

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bert_in_keras

在Keras下微调Bert的一些例子;some examples of bert in keras

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Chatbot_CN

基于金融-司法领域(兼有闲聊性质)的聊天机器人,其中的主要模块有信息抽取、NLU、NLG、知识图谱等,并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

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Chinese-LLaMA-Alpaca

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

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Chinese-NLP-Corpus

Collections of Chinese NLP corpus

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CLUE

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

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COVID-19-tracker

北航大数据高精尖中心研究团队进行数据来源的整理与获取,利用自然语言处理等技术从已公开全国4626确诊患者轨迹中抽取了基本信息(性别、年龄、常住地、工作、武汉/湖北接触史等)、轨迹(时间、地点、交通工具、事件)及病患关系形成结构化信息

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Deep-Learning-With-Python

《Python深度学习》书籍代码

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Deep-Learning-with-PyTorch-Tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

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Entity-Relation-Extraction

Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取,2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

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FlagAI

FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.

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keras-bert

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

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KnowledgeGraphCourse

东南大学《知识图谱》研究生课程

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LSTM-CRF-pytorch-faster

An more than 1000X faster paralleled LSTM-CRF implementation modified from the slower version in the Pytorch official tutorial (URL:https://pytorch.org/tutorials/beginner/nlp/advanced_tutorial.html).

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ML_Notes

机器学习算法的公式推导以及numpy实现

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neo4j-graph-algorithms

Efficient Graph Algorithms for Neo4j

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nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

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PaddleNLP

Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Neural Search, Question Answering, Information Extraction and Sentiment Analysis end-to-end system.

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pointer_summarizer

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

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risk-management-note

🧯风险控制笔记,适用于互联网企业

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shadowsocks-android

A shadowsocks client for Android

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stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

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SupplyChain

智能供应链分析,对顾客用rfm模型分类,用多种机器学习模型建模,进行欺诈订单预测,延迟发货预测,销售额预测,销售数量预测

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TensorFlow-2.x-Tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。

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translation

All about new to the 抱抱脸 localization volunteer collaboration team.

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XFUND

XFUND: A Multilingual Form Understanding Benchmark

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zihaokeras

子豪兄的keras视频教程

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