wiskott-lab / sklearn-sfa
This project provides Slow Feature Analysis as a scikit-learn-style package.
☆40Updated last year
Alternatives and similar repositories for sklearn-sfa:
Users that are interested in sklearn-sfa are comparing it to the libraries listed below
- Vector Quantile Regression☆19Updated last month
- Sequential Neural Likelihood☆40Updated 5 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆41Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆38Updated 2 years ago
- Variational Autoencoder for Dimensionality Reduction of Time-Series☆187Updated 3 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated last year
- Code for Hidden Markov Nonlinear ICA☆24Updated 3 years ago
- An encoder-decoder framework for learning from incomplete data☆46Updated last year
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Probabilistic Auto-Encoder☆42Updated 2 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆27Updated last year
- Toy Examples of Conditional Density Estimation with Bayesian Normalizing flows☆22Updated 6 years ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆45Updated last year
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆57Updated last year
- Pytorch implementation of "Inferring Causal Dependencies between Chaotic Dynamical Systems from Sporadic Time Series"☆9Updated 4 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 9 months ago
- Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'☆20Updated 5 years ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 5 years ago
- Normalizing Flows with a resampled base distribution☆46Updated 2 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆66Updated 3 months ago
- Modular Gaussian Processes☆15Updated 3 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆138Updated 2 years ago
- We got a stew going!☆27Updated last year
- Probabilistic modeling of tabular data with normalizing flows.☆56Updated 2 weeks ago
- ☆38Updated 4 years ago
- Autoencoder-based Change Point Detection in Time Series Data using a Time-Invariant Representation☆39Updated 3 years ago