xkuang Goto Github PK
Name: Xiaoting Kuang
Type: User
Bio: NLP data scientist
Location: New York
Name: Xiaoting Kuang
Type: User
Bio: NLP data scientist
Location: New York
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
An aid for text mining in R, with a syntax that should be familiar to experienced R users. Provides a wrapper for several topic models that take similarly-formatted input and give similarly-formatted output. Has additional functionality for analyzing and diagnostics for topic models.
Text Mining in R workshop materials
PKU 2017 fall text mining project 1 : automatic text summarization
(Mental) maps of texts with kernel density estimation and force-directed networks.
Preparing a dataset for TensorFlow text summarization (TextSum) model.
Modifications on Tensorflow's textsum (https://github.com/tensorflow/models/tree/master/textsum)
Django project for prototyping text visualizations with topic modeling
Tensorflow implementation of convolutional Winner-Take-All Autoencdoer
认知英语课参考手册
Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson
A tidy-native LDA implementation in Rcpp
Text mining using dplyr, ggplot2, and other tidy tools :sparkles::page_facing_up::sparkles::page_facing_up::sparkles:
TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
It uses Latent Dirichlet Allocation algorithm to discover hidden topics from the articles. It is trained on 60,000 articles taken from simple wikipedia english corpus. Finally, It can extract the topic of the given input text article.
A simple Shiny App for Topic Modeling in R
A Django project to build an interactive visualisation tool for topic models
今日头条中文新闻文本(多层)分类数据集
Utility to mine an Oracle 10046 Trace file, with Binds, and list the SQL statements with binds replaced by actual values used at EXEC time.
nyu-cv-fall-2017 assignment 3
Classify Traffic Signs.
Deeplearning Algorithms Tutorial
This is the repository for the hands-on tutorial on SystemT from KDD 2019
- Scrapped data from twitter using selenium for Hillary Clinton and Donald Trump - Cleaned the data using Re and Nltk and performed various classification algorithms - Using GridSearch compared RF, KNN, MLP, SVM algorithms and found out the best efficient algorithm - Predicted the feature words using vectorizer which were most efficient
Machine Learning over Twitter's stream. Using Apache Spark, Web Server and Lightning Graph server.
Starter project code for students taking Udacity ud120
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.