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3D force-directed graph component using ThreeJS/WebGL
Docker image for an IPython 3/Jupyter Notebook and Terminal with full Anaconda Install
https://graphacademy.neo4j.com/courses/app-python
A collection of important graph embedding, classification and representation learning papers with implementations.
A curated list of AWESOME papers, datasets and tutorials within Multimodal Knowledge Graph.
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
cluster force module for d3.v4 `forceSimulation`
d3 interactive animated force-directed graphs in a jupyter notebook
Open-source demos hosted on Dash Gallery
A repository of example implementations for interesting ml concepts
Docker Images for the Neo4j Graph Database
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Examples of using FiftyOne
A generic library for creating graph data structures and performing operations on them. It supports different kinds of graphs such as directed graphs, acyclic graphs, or trees.
A Graph App Starter Kit for React - Clone, connect and code...
A python package for graph kernels, graph edit distances, and graph pre-image problem.
semi supervised guided topic model with custom guidedLDA
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
code and resources for the book Intuitive Text Mining
Knowledge Graph Embeddings (KGE) to implement Explainable Artificial Intelligence. As AI develops users must know how algorithms make their decisions, especially for hazardous tasks such as driverless cars. Knowledge graphs are an inherently understandable form of text-based data created as an interconnected network of information. These can be converted into KGE by transforming the unqiue entites in the graph to vector representations. With these, predictions were made for missing/incorrect links in the network and further explainations were made by plotting the clusters of the data. Knowledge graphs and their embedded models were researched and four of these KGE were created and tested by their ability to rank the correct links from a Covid-19 dataset. This dataset was extracted from research papers about the virus to retrieve information quicker. The model which was most accurate was used to implement knowledge graph completion and explainability of the dataset using visual and textual interpretations. A 29,000-word thesis was written to describe the work done through the researching, testing and interpreting of this project.
test neo4j as visualization tool for graph data
Cross-platform, customizable ML solutions for live and streaming media.
Neo4j Movies Example application with Flask backend using the neo4j-python-driver
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
Create HTML profiling reports from pandas DataFrame objects
Code samples used on cloud.google.com
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
Notebooks for the Seattle PyData 2017 talk on Scattertext
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.