Metis is a learnware platform in the field of AIOps.
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Updated
Apr 7, 2023 - Python
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
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
A tester and example code for using ParMETIS (the graph partitioner)
Un sencillo proyecto basado en 🚩 Challenge #0: 🎟 Simple NFT de https://speedrunethereum.com/, esta version esta modificada para usar la red de https://metis.io
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