MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System (Software-Defined Storage)
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Updated
Mar 6, 2024 - C
MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System (Software-Defined Storage)
Foldseek enables fast and sensitive comparisons of large structure sets.
Distributed and Graph-based Structure from Motion. This project includes the official implementation of our Pattern Recognition 2020 paper: Graph-Based Parallel Large Scale Structure from Motion.
A Tool for Automatic Analysis of Malware Behavior
Asynchronous Block-Level Storage Replication
MCL, the Markov Cluster algorithm, also known as Markov Clustering, is a method and program for clustering weighted or simple networks, a.k.a. graphs.
Cluster FS and Tools
A method to mine beyond-pairwise relationships using Min-Hashing for large-scale pattern discovery
Goal: Low power cluster capable of serving 24+ streams of 4KHDR60 source transcodes while consuming no more than 100W at peak and idling at less than 10W
Implementation of movie recommendation system using C
Fast variant of Density Peaks clustering
variational Bayesian algorithm for Brain MR image Segmentation
A raytracing program built from scratch in C language, using MinilibX minimal graphics library, with pseudo-xml files as input, a dynamic render realtime viewer, and the ability to save bmp at your resolution of choice, and the ability to render on multiple devices for faster distributed rendering.
Recommendation System on cryptocurrency, using data collected from users' tweets + 10-Fold Cross Validation ( Based on the cryptocoins from each user's tweets, the program runs algorithms on the data, resulting in the recommendation of other cryptocoins for each user) ( readme in greek but soon to be translated in English )
Balanced k-Means Revisited algorithm
C implementation of the BIRCH algorithm, an unsupervised data mining algorithm which is used to perform hierarchical clustering over particularly large data-sets.
HiPGMC is a highly efficient, parallel Graph-based Multi-view Clustering implementation.
An implementation of mean shift clustering algorithm on CUDA (and CPU too).
PHP extension for points clusterization on the map
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