SnapperML is a framework for machine learning. It has many functionalities including scalability through docker instances and reproducibility.
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Updated
Nov 18, 2024 - Python
SnapperML is a framework for machine learning. It has many functionalities including scalability through docker instances and reproducibility.
OpenQuake Engine: a software for Seismic Hazard and Risk Analysis
The API endpoint that manages nebula orchestrator clusters
command line tool for managing nebula clusters
Regression, Classification and Clustering
Cross-platform, high-throughput computing utility for processing shell commands over a distributed, asynchronous queue.
Confluent is a software package to handle essential bootstrap and operation of scale-out server configurations.
Program that allows to determine the label of a sonar signal, whether it corresponds to a mine or a rock, based on CV2 KMEANS. It starts from the signal file sonar_data.csv, although it is a labeled file, the labels are only used to check the clustering results. A success rate of 96.63% is obtained
A framework for benchmarking clustering algorithms
Ansible Modules to manage LinuxHA/CoroSync
The worker node manager container which manages nebula nodes
Identify regimes in financial markets based on multivariate time series data using multiple methodologies, including CNN, AutoEncoder, Siamese Model, Correlation Matrices, K-means++, and Hierarchical Clustering
An efficient quick-start tool to build a Raspberry Pi (or Debian-based) Cluster with popular ecosystem like Hadoop, Spark
Best practices & guides on how to write distributed pytorch training code
Ansible modules for interacting with pacemaker clusters (2nd generation)
Add a description, image, and links to the cluster topic page so that developers can more easily learn about it.
To associate your repository with the cluster topic, visit your repo's landing page and select "manage topics."