Showing 10 open source projects for "bayesian"

View related business solutions
  • $300 Free Credits for Your Google Cloud Projects Icon
    $300 Free Credits for Your Google Cloud Projects

    Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.

    Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
    Start Free Trial
  • 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
    Lattice Visualiser

    Lattice Visualiser

    LV10: High-coherence C++ lattice.

    “Elara: a representational, Bayesian‑updating, multiplicative conceptual engine with material grounding and animal‑like dynamical behaviour.”
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    faif

    faif

    C++ header only library with AI and bioinformatics algorithms

    C++ header only library, small and fast; Naive Bayesian Classifier, Decision Tree Classifier (ID3), DNA/RNA nucleotide second structure predictor, timeseries management, timeseries prediction, generic Evolutionary Algorithm, generic Hill Climbing algorithm and others.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3

    StabLe

    An algorithm for learning stable graphical models from data

    ...Stable random variables are motivated by the central limit theorem for densities with (potentially) unbounded variance and can be thought of as natural generalizations of the Gaussian distribution to skewed and heavy-tailed phenomenon. SG models are multi-variate stable distributions that represent Bayesian networks whose edges encode linear dependencies amongst random variables. A preprint version of the manuscript describing stable graphical models is available at http://arxiv.org/abs/1404.4351.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    BIL++
    BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).
    Downloads: 0 This Week
    Last Update:
    See Project
  • Stop vibe-debugging. Icon
    Stop vibe-debugging.

    Plug Claude into your app's actual errors.

    AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
    Free 30 days.
  • 5
    An implementation of memory-prediction framework applied for image recognition. Based on Jeff Hawkins' book On Intelligence. It models the high-level hierarchical architecture of human neocortex and uses Bayesian belief revision for making predictions
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    Bayesline is a Bayesian Network Framework based on the Valuation Concept of Shenoy and Shafer.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7
    Development of a unifying framework for Bayesian Networks under Kalamar guidence.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 8
    DBNL

    DBNL

    Dynamic Bayesian Network Library

    DBNL is a cross-platform library that offers a variety of implementations of Bayesian networks and machine learning algorithms. It is a flexible library that covers all aspects of Bayesian netwoks from representation to reasoning and learning. It allows you to create simple static networks as well as complex temporal models with changing structure. It can handle highly non-linear dependencies between multivariate random variables.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9
    nbC is a naive bayesian Classifier for text which coding by C++
    Downloads: 0 This Week
    Last Update:
    See Project
  • Our Free Plans just got better! | Auth0 Icon
    Our Free Plans just got better! | Auth0

    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.
    Try free now
  • 10
    Data Mining Platform is a platform for data mining and analysis. It contains many of the new and sophisticated methods such as kernel-based classification, two-way clustering, bayesian networks, pattern recognition for time series analysis and many other
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
Auth0 Logo