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A collection of mini-projects on data science.
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
GRASS GIS script to calculate Jeffries-Matusita distance
Python flask web application for selecting different locations (i.e., counties) in United States based on multiple factors related to population, earnings, age, housing, education, rent, employment, health and physical activity. The different factors are standardized using linear transformation and then aggregated into a suitability index by weighting each standardized factor with user-specified importance weights. The suitability indices for each county are then ranked from most suitable to least suitable and displayed on a map. Web Application Framework: Python Flask <br> Backend: Python (NumPy, Pandas), SQLite <br> Frontend: HTML, CSS, JavaScript, jQuery, Ajax, Bootstrap, D3
A collection of R code for running machine learning algorithms including random forest, bagging, boosting and classification trees. The R scripts were originally developed for land-cover classification but can easily be extended and applied to other supervised classification problems.
Collection of data structures and algorithms in python
Bash shell scripts to automatically set-up, create, add content and host a Python Pelican blog.
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
R2CNN: Rotational Region CNN Based on FPN (Tensorflow)
Single Shot MultiBox Detector in TensorFlow
Computation using data flow graphs for scalable machine learning
TensorFlow Tutorial and Examples for Beginners with Latest APIs
R shiny web application to scrape tweets based on user-defined search keyword and perform sentiment analysis of the tweets. Sentiment analysis of tweets consists of classifying tweets into emotion classes (i.e., anger, disgust, fear, joy, sadness and surprise) and also polarity classes (i.e., negative, neutral and positive) using naïve Bayes classifier. The tweets are scraped, classified into sentiment classes and visualized in R using twitteR, sentiment and ggplot2 packages, respectively.
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.