wiskott-lab / sklearn-sfaLinks
This project provides Slow Feature Analysis as a scikit-learn-style package.
☆41Updated 2 years ago
Alternatives and similar repositories for sklearn-sfa
Users that are interested in sklearn-sfa are comparing it to the libraries listed below
Sorting:
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆42Updated 4 years ago
- Vector Quantile Regression☆19Updated 7 months ago
- Variational Autoencoder for Dimensionality Reduction of Time-Series☆189Updated 3 years ago
- ☆29Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆46Updated 2 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model☆102Updated last year
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- ☆15Updated 2 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆49Updated 2 years ago
- Sequential Neural Likelihood☆42Updated 6 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- ☆37Updated 5 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆39Updated 3 years ago
- Toy Examples of Conditional Density Estimation with Bayesian Normalizing flows☆21Updated 7 years ago
- Heteroscedastic Bayesian Optimisation in Numpy☆23Updated 2 years ago
- Code for random Fourier features based on Rahimi and Recht's 2007 paper.☆58Updated 4 years ago
- Probabilistic Auto-Encoder☆43Updated 2 years ago
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆57Updated 2 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- Bayesian algorithm execution (BAX)☆53Updated 4 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 4 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 10 months ago
- Differentiable computations for the signature-PDE-kernel on CPU and GPU.☆55Updated 2 weeks ago
- Bayesian optimization with conformal coverage guarantees☆28Updated 3 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆35Updated 3 years ago
- ☆16Updated last year