Metis is a learnware platform in the field of AIOps.

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

Parallel Boundary Element Method solver

A modern Fortran interface to the METIS graph partitioning library

Project 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.

Metis Data Science Portfolio - Summer 2017

Visualization of many Clustering Algorithms, via Notebook or GUI

Metis, named after the Titaness of Wisdom, is our in-development data publication framework including both a client application and a number of data processing (micro)services

NATO joint military symbols for ArmA 3

A framework of aggregating huge-scale graph based on metis algorithm.

gnuradio interface module for HPSDR Hermes / Metis, and Red Pitaya (using OpenHPSDR protocol 1)

METIS partitioner for mesh and graph

CMake enhanced Karypis METIS library

A collection of useful components to enhance the MilSim gameplay experience for ArmA 3

Run ATPs from SystemOnTPTP

Debian based TELEMAC-MASCARET Docker image, including Open MPI, METIS, HDF5, MED

VG WORT METIS text submission API helper for PHP

//: profile for github

A tester and example code for using ParMETIS (the graph partitioner)

📦 Repository: recon, Hacking tools // pkgs