Alternatives and similar repositories for sklearn-rvm:

Users that are interested in sklearn-rvm are comparing it to the libraries listed below

• n-takeishi / bayesiandmd
  Bayesian Dynamic Mode Decomposition (Bayesian DMD)
  ☆18Updated 3 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆44Updated 5 years ago
• Ohjeah / sparsereg
  a collection of modern sparse (regularized) linear regression algorithms.
  ☆61Updated 4 years ago
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆37Updated 2 years ago
• kpchamp / MultiscaleDiscovery
  ☆27Updated 6 years ago
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆79Updated this week
• sremes / nonstationary-spectral-kernels
  Implementation for Non-stationary Spectral Kernels (NIPS 2017)
  ☆20Updated 5 years ago
• arbabiha / StochasticModelingwData
  Data-driven modeling of chaotic systems in the form of SDEs and nonlinear observation maps
  ☆18Updated 4 years ago
• chengl7 / LonGP
  Gaussian process regression + automatical model selection for logitudinal -omics data
  ☆21Updated 3 years ago
• erichson / optht
  Optimal Hard Threshold for Matrix Denoising
  ☆37Updated 3 years ago
• SchatzLabGT / SymbolicRegression
  ☆11Updated 3 years ago
• ngorbach / Variational_Gradient_Matching_for_Dynamical_Systems
  Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"
  ☆26Updated 5 years ago
• fsahli / EikonalNet
  ☆19Updated 4 years ago
• biomathlab / PDElearning
  Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"
  ☆10Updated 5 years ago
• datafold-dev / datafold
  Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming opti…
  ☆30Updated 5 months ago
• gatsby-sahani / gp-sde
  ☆13Updated last year
• joshloyal / sliced
  sliced: scikit-learn compatible sufficient dimension reduction
  ☆22Updated 7 months ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• wiskott-lab / sklearn-sfa
  This project provides Slow Feature Analysis as a scikit-learn-style package.
  ☆39Updated last year
• alphacsc / alphacsc
  Convolution dictionary learning for time-series
  ☆124Updated last month
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆28Updated 2 years ago
• arbabiha / DMD-for-ergodic-systems
  Computing the discrete spectrum of the Koopman operator using Dynamic Mode Decomposition
  ☆10Updated 4 years ago
• erichson / DMDpack
  Dynamic Mode Decomposition
  ☆57Updated 7 years ago
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆41Updated 6 months ago
• cselab / LED
  ☆19Updated 2 years ago
• stefanradev93 / cINN
  Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"
  ☆21Updated 4 years ago
• vlad17 / runlmc
  Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.
  ☆36Updated 2 years ago
• josephbakarji / bucki-data
  Machine learning algorithms for discovering dimensionless groups from simulation and experimental data
  ☆11Updated 2 years ago
• gianlucadetommaso / Stein-variational-samplers
  Python and MATLAB code for Stein Variational sampling methods
  ☆24Updated 5 years ago