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Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"
instances for Graph Coloring and Weighted Vertex Coloring Problem with reduced versions of the graphs
Graph Coloring - Weighted Vertex Coloring Problem - Monte Carlo Tree Search with automatic selection of Local Search operators during Simulation
Graph Coloring - Weighted Vertex Coloring Problem - Constraint Programming and New Bounds
This project proposes an efficient memetic algorithm for the graph coloring problem. Authors : L. Moalic ([email protected]) and A. Gondran ([email protected]). Details are presented in the paper "Variations on memetic algorithms for graph coloring problems" :
Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
Source code for the article "Population-based Gradient Descent Weight Learning for Graph Coloring Problems". Applications to standard Graph Coloring Problem (GCP) and Equitable graph Coloring Problem (ECP).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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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.
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Some thing interesting about visualization, use data art
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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.