Showing 11 open source projects for "spectral"

View related business solutions
  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New to Google Cloud? Get $300 in credits to explore Compute Engine, BigQuery, Cloud Run, Gemini Enterprise Agent Platform, and more.

    Start your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
    Claim $300 Free
  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
    Try It Free
  • 1

    Hyperspectral data analysis in R

    Handling and basic analysis of hyperspectral data in R

    The hsdar package contains classes and functions to manage, analyse and simulate hyperspectral data. These might be either spectrometer measurements or hyperspectral images through the interface of rgdal.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Geophysical Library is a C++-library to handle geophysical data. At the moment the focus is on magnetotelluric and seismic data. It also includes a genetic algorithm for data inversion, signal processing and statistics routines.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3

    spectralHMM

    A spectral method for inferring selection from time series data

    ***WARNING*** This software was migrated to: https://github.com/popgenmethods/spectralHMM Support and updates will only be available at this new address. This software implements the algorithms described in the following paper: Steinrücken, M., Bhaskar, A. and Song, Y.S. A novel spectral method for inferring general diploid selection from time series genetic data. Annals of Applied Statistics, Vol. 8, No. 4 (2014) 2203-2222
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    Community Detection Modularity Suite

    Community Detection Modularity Suite

    Suite of community detection algorithms based on Modularity

    ... - OpenMP versions of algorithms in [1] are available to download. - Main suite containing three community detection algorithms based on the Modularity measure containing: Geodesic and Random Walk edge Betweenness [1] and Spectral Modularity [2]. Collaborator: Theologos Kotsos. [1] M. Newman & M. Girvan, Physical Review, E 69 (026113), 2004. [2] M. Newman, Physical Review E, 74(3):036104, 2006. [3] B. Ball et al, An efficient and principled method for detecting communities in networks, 2011. The suite is based upon the fast community algorithm implemented by Aaron Clauset <aaron@cs.unm.edu>, Chris Moore, Mark Newman, and the R IGraph library Copyright (C) 2007 Gabor Csardi <csardi@rmki.kfki.hu>. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Your monitoring isn't a stack. It's a pile. Fix that. Icon
    Your monitoring isn't a stack. It's a pile. Fix that.

    Errors, performance, logs, uptime. One install, one invoice, one UI.

    Replace Datadog, New Relic, and Sentry without adding three more dashboards.
    Free 30 days.
  • 5
    This project provides a Fortran90 library and a python module for singular spectrum analyses such as PCA/EOF or MSSA. It is intended for people interested, for example, in analysing climate or financial variability.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    Parallel Spectral Deconvolution is a multithreaded ImageJ plugin for spectral image deblurring.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 7
    fesslix

    fesslix

    Stochastic Analysis

    A brief summary of the main features of Fesslix: - Perform non-intrusive reliability analysis or Bayesian updating either --- by running commands on the command line or --- by means of an Octave interface or --- by means of a Python interface - Flexible input language for writing Fesslix parameter files --- Control flow statements (e.g. if, for, while) --- Most parameters can be defined as functions - Working with response surfaces - Linear finite element analysis using truss, beam and plane stress/strain elements - Spectral Stochastic Finite Elements - Bayesian networks This is the download page for Windows executables of Fesslix.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 8
    Sempy
    Sempy is a Python package for the solution of partial differential equations using the spectral element method.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9
    SpecMark (spectral Markov) is a method for calculating the joint probability distribution over species in a regulatory network.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Stop Cyber Threats with VM-Series Next-Gen Firewall on Azure Icon
    Stop Cyber Threats with VM-Series Next-Gen Firewall on Azure

    Native application identity and user-based security for your Azure cloud

    Gain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
    Get a free trial
  • 10
    ...A new modulation method 'Advanced PCC-OFDM' is developed. With this method you can construct a modulation, which is fast decaying in frequency domain, while maintaining spectral efficiency.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 11
    Kicksey-winsey is an open source package for spectral fluid flow simulation using wavelets. It is provided as is and without any warranty that the results of the computations will be correct. Feedback on the forums would be very welcome !!
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
Auth0 Logo