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Name: Anywn
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Name: Anywn
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基于英文社区问答系统的答案提取与答案自动分类的实现
基于社区问答系统的答案自动分类的实现,答案的类别只有两类,分别为yes和no。系统实现了输入问题和答案,自动识别出答案的类别并输出。
根据用户画出的storm程序拓扑图,可以自动生成对应的storm程序,包括对spout和bolt节点的解析和自动生成。
科学计算器程序,实现对输入的复杂表达式的自动解析并计算出结果,可以实现方差,集合如sum/avg等嵌套复杂运算
Implement character-level language models for text generation based-on LSTM, in Python/TensorFlow
基于WordNet和句法依存树,实现对英语短语的搭配提取,包括连续的和非连续的英语短语词组。
A Spark-based implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data
针对手机评论数据的情感挖掘与分析项目,基于依存句法分析和情感词库提取特征词,并对特征词做情感极性预测标注。
A distributed graph deep learning framework.
基于标题分类的主题句提取方法可描述为: 给定一篇新闻报道, 计算标题与新闻主题词集的相似度, 判断标题是否具有提示性。对于提示性标题,抽取新闻报道中与其最相似的句子作为主题句; 否则, 综合利用多种特征计算新闻报道中句子的重要性, 将得分最高的句子作为主题句。
A simple GBDT in Python
结巴分词(java版)
libLBFGS: a library of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS)
自己实现的机器学习算法,如KNN,协同过滤推荐,朴素贝叶斯等
针对中文,演示Markdown的各种语法
alphagomoku
MeetAI - machine learning workshop
My coding project.
Graph Convolutional Networks in PyTorch
Louvain Community Detection
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Restricted Boltzmann Machines in Python.
使用jieba的SEARCH模式实现分词操作。 输入有三个参数。分别是: 1.需要分词的文件目录。2.分词结果输出文件目录。3.用户自定义词典目录
Custom MLR implementaion
Mirror of Apache Spark
CoreNLP wrapper for Spark
word2vec java版本的一个实现
https://github.com/dmlc/xgboost
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.