Distributed/parallel computing in modern Python based on the multiprocessing.Pool API (map, imap, imap_unordered).
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Updated
Oct 17, 2019 - Python
Distributed/parallel computing in modern Python based on the multiprocessing.Pool API (map, imap, imap_unordered).
A simple application that helps you classifying your data with Kmeans
Clustering Urdu News Using Headlines off BBC Dataset and VOA Dataset.
STONITH plugin for fencing virtual machines on ESX/ESXi hosts and vCenter Server via pyVmomi
A package for easier interface and setup for pipelining in distributed cluster.
🗄️💧 Find exposed and unsecured databases from a list of hosts. 🗄️💧
Network of hexagons , forming a cluster , which can be modified with certain rules . Upcoming😎: https://github.com/ricksr/random_cluster
Search for Binary Supernova Ejected OB-type Runaway Stars from Young Open Clusters | Master Thesis Project
The thesis presents the parallelisation of a state-of-the art clustering algorithm, FISHDBC. This objective has been achived by improving the main data structures and components of the algorithm: HNSW, MST and HDBSCAN. My contribution is based on a lock-free strategy, completely wrote in Python.
This project is about implementation of mongodb database for a django project for this i have used djongo. Basically djongo acts as a middleware that converts traditional sql operations by ORM into mongodb database operations.
The Nanocluster interpolation Scheme Program (NISP) is designed to perform an interpolation scheme that gives idea of the types of icosahedral, decahedral, and octahedral clusters that may exist at selected sizes.
Distributed hyperparameter search in a single command line 🔮
This is pyspark based K-means clustering model which categorized Mobile Telecommunication customer based on their credit behaviors
We have created a code to do the photometry of clusters and astronomical structures, using different observation images and filters.
A prometheus exporter for Rittal SNMP.
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