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With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Complex Systems is a toolbox for SCILAB software.
This toolbox measures some parameters for graphs representing
complex systems: degree distribution, average neighboring degree, average clustering, and shell index (from k-core decomposition).
A MATLAB spectral clustering package to handle large data sets (200,000 RCV1 data) on a 4GB memory general machine. We implement various ways of approximating the dense similarity matrix, including nearest neighbors and the Nystrom method.
This project applies an interpretation of a k-NN algorithm to a library of GPS commuter data for speed prediction. The overall goal is to lay the foundation for a power management protocol for use in electric vehicles with hybrid energy storage.
A tool to automate (i) software/algorithm benchmarking varying a set of control parameters, (ii) manage and summarize the results using plots and tables. The software works with any standalone command line based software or MATLAB.
Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
BorderFlow implements a general-purpose graph clusteringalgorithm. It maximizes the inner to outer flow ratio from the border of each cluster to the rest of the graph.
This project aims to provide open source software implementing the Wedge algorithm for the estimation of parameters in dynamical systems models. This project also seeks to create tutorials and resources for those using Wedge.
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Fluster is a clusteringalgorithm for the Google Maps API v3. It manages all your markers on the map and summarizes them to "clustered markers" if there is not enough space around them. Acts like MarkerClusterer for v2.
This is a set of octave-functions to simulate grover's quantum search algorithm in which we introduce spontaneously decaying qubits. See http://arxiv.org/abs/quant-ph/0609047. This is a modification to account for multiple item searching.
Java package to study a clustering model described in the paper \"Novel ClusteringAlgorithm Based Upon Games on Evolving Network\" by Q. Li, Z. Chen, Y. He and J-P. Jiang (in arxiv: http://arxiv.org/pdf/0812.5064v1), generalizations and similar issues.
Software for clustering networks as described in "Information-theoretic approach to network modularity" (Phys. Rev. E 71, 046117 (2005); http://link.aps.org/abstract/PRE/v71/e046117).
The Databionics ESOM Tools offer many data mining tasks using Emergent Self-Organizing Maps. Visualization, clustering, and classification of high-dimensional data using databionics principles can be performed interactively or automatically.
ARM7 targeted MP3 player. Fixed point 16 bit. Purpose is to buid an MP3 player with the lowest possible cost. Works on mono files (going stereo shouldn't be very complicated). Doesn't use Helix. The huffman decoding uses a clustering based algorithm.
An object-oriented MATLAB toolbox for nonlinear filtering. Includes algorithms for SIR and SIS particle filters as well as an algorithm for the Extended Kalman Filter (EKF). Several discrete-time models are available. Comes with an easy-to-use GUI.
N-stage worm propagated via SSH. It executes commands in a given list of hosts and copies files to them with rsync. The paths for its propagation to the cluster are configurable. It offers a scalable/reliable transport API thanks to its adaptive algorithm
Matlab-based software for clustering neurophysiological data. Includes a modular architecture for incorporating algorithms/data formats, methods for comparing and characterizing automated algorithms and visualization/validation tools.
distDES is a Java RMI-based application which manages load balancing on heterogeneous clusters. Development will extend the theoretical initial implementation to include clustered Rainbow Table generation and encryption algorithm collision detection.
A collection of LDPC(Low-Density Parity-Codes) tools. Including: Code construction; Density Evolution; Decoding Algorithm; Girth average Counter; Stopping set and error Floor,etc.