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GPJax
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    thomaspinder/GPJax
    thomaspinder/GPJax
    • 🏡 Home
      • 🛠️ Installation
      • 📈 Benchmarks
      • 🎨 Design principles
      • 🤝 Contributing
      • 🔪 Sharp bits
      • 🚚 Migrating to 0.14
      • 📎 JAX 101 [External]
      • Intro to GPs
      • Intro to Kernels
      • Regression
      • Classification
      • Poisson regression
      • Barycentres
      • Deep kernel learning
      • Graph kernels
      • Sparse GPs
      • Stochastic sparse GPs
      • State-Space GPs
      • Vector-Field GPs
      • Heteroscedastic Inference
      • Multi-Output GPs
      • Accelerated Multi-Output GPs
      • Orthogonal Additive GPs
      • Numpyro Integration
      • Spatial Linear Gaussian Process
      • Kernels
      • Likelihoods
      • Model Guide
      • UCI regression
      • 👥 Code of conduct
      • 📜 Governance
      • 📨 Contact
        • Citation
        • Dataset
        • Distributions
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        • Integrators
            • Decompose
            • Oak
            • Sobol
            • Transforms
            • RFF
          • Base
            • Base
            • Basis Functions
            • Constant Diagonal
            • Dense
            • Diagonal
            • Eigen
            • Base
            • Computation
            • Icm
            • Lcm
            • Graph
            • Utils
            • Arccosine
            • Linear
            • Polynomial
            • Base
            • Matérn12
            • Matérn32
            • Matérn52
            • Periodic
            • Powered Exponential
            • Rational Quadratic
            • RBF
            • Utils
            • White
        • Likelihoods
          • Compat
          • Custom Operators
          • Utils
        • Mean Functions
          • Oilmm
        • Objectives
        • Parameters
        • Scan
          • Bessel
          • Validation
          • Fit
          • GPs
          • Inference
          • Kernels
          • Objectives
          • Prediction
          • Sde
        • Summary
        • Typing
        • Variational Families

    SUMMARY

    • GPJax
      • Citation
      • Dataset
      • Distributions
      • Fit
      • GPs
      • Integrators
      • Kernels
        • Additive
          • Decompose
          • Oak
          • Sobol
          • Transforms
        • Approximations
          • RFF
        • Base
        • Computations
          • Base
          • Basis Functions
          • Constant Diagonal
          • Dense
          • Diagonal
          • Eigen
        • Multioutput
          • Base
          • Computation
          • Icm
          • Lcm
        • Non Euclidean
          • Graph
          • Utils
        • Nonstationary
          • Arccosine
          • Linear
          • Polynomial
        • Stationary
          • Base
          • Matérn12
          • Matérn32
          • Matérn52
          • Periodic
          • Powered Exponential
          • Rational Quadratic
          • RBF
          • Utils
          • White
      • Likelihoods
      • Linalg
        • Compat
        • Custom Operators
        • Utils
      • Mean Functions
      • Models
        • Oilmm
      • Objectives
      • Parameters
      • Scan
      • State Space
        • Bessel
        • Validation
        • Fit
        • GPs
        • Inference
        • Kernels
        • Objectives
        • Prediction
        • Sde
      • Summary
      • Typing
      • Variational Families
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