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  • API Reference
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User Guide

  • Getting Started
  • A Primer on Evolution Operators
  • The Operator Way

Examples

  • Eigenfunctions of a 1D Potential
  • Dynamic Mode Decomposition
  • Fast Kernel Models
  • Analysing Molecular Dynamics
  • Switching System
  • Ordered MNIST (torch)
  • Ordered MNIST (jax)
  • Logistic Map (torch)

API

  • kooplearn
    • DynamicalModes
  • kooplearn.linear_model
    • Ridge
  • kooplearn.kernel
    • KernelRidge
    • NystroemKernelRidge
    • GeneratorDirichlet
  • kooplearn.preprocessing
    • TimeDelayEmbedding
    • FeatureFlattener
  • kooplearn.metrics
    • directed_hausdorff_distance
  • kooplearn.datasets
    • compute_prinz_potential_eig
    • compute_logistic_map_eig
    • compute_logistic_map_invariant_pdf
    • fetch_ordered_mnist
    • make_duffing
    • make_linear_system
    • make_logistic_map
    • make_lorenz63
    • make_prinz_potential
    • make_regime_switching_var
  • kooplearn.torch
    • SpectralContrastiveLoss
    • VampLoss
    • AutoEncoderLoss
    • EnergyLoss
    • FeatureMapEmbedder
  • kooplearn.jax
    • spectral_contrastive_loss
    • vamp_loss
    • autoencoder_loss
    • energy_loss
    • NnxFeatureMapEmbedder
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  1. kooplearn /
  2. kooplearn.jax

kooplearn.jaxΒΆ

nn.spectral_contrastive_loss(x, y)

Spectral contrastive loss for self-supervised learning.

nn.vamp_loss(x, y[, schatten_norm, ...])

Variational Approach for learning Markov Processes (VAMP) score.

nn.autoencoder_loss(x, y, x_rec, y_enc, ...)

Single-step Dynamic Autoencoder (DAE) loss.

nn.energy_loss(x, y[, grad_weight])

Energy-based loss function.

NnxFeatureMapEmbedder(encoder[, decoder])

sklearn-style transformer wrapping NNX Modules (encoder/decoder).

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