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A simple method to augment text by using NMT (neural machine translation).
Text Classification Algorithms: A Survey
Text Clustering Algorithms, Affinity Propogation, Spectral Clustering, K-Means, Cluster Evaluation
Molding CNNs for text (http://arxiv.org/abs/1508.04112)
This code is the implementation of the method proposed in the paper “Multi-script text extraction from natural scenes” (Gomez & Karatzas) to appear in ICDAR2013 conference.
Text classification models. Used a submodule for other projects.
Just a playground with doc2vec and LSA
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
A system for connecting language to space and time.
Inverse regression analysis of text
Text processing library for sentiment analysis and related tasks
In this project, there are two major tasks: text data processing and text categorization. In text data processing, we have done tokenization, stemming, normalization, etc. Also, vector space model and statistical language models are used to retrieve similar documents to query. In text categorization, we build a text classification system which includes feature selection, classifiers (Naive Bayes and K Nearest Neighbor using brute force and random vectors), cross validation, and parameter tuning.
supervised classification (implement feature generation: bag of words, TF-IDF)
Sample text mining procedures in R
TextRank algorithm implementation in Javascript
:deciduous_tree:从中文文本中自动提取关键词和摘要
A synthetic data generator for text recognition
Detect text reuse and document similarity
A secure text messaging application for iOS
my tf examples for now
Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets
Python package repo for the factorization machine implementations from the tensorflow2_model_zoo
Deep Factorization Machine with Wide & Deep structure implemented in Tensorflow
R interface to TensorFlow Estimators
TensorFlow implementation of an arbitrary order Factorization Machine
Fuzzy Rough Set Based Feature Selection for Large-Scale Hierarchical ClassificationT
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.