Mind-the-Pineapple / sklearn-rvm
An sklearn style implementation of the Relevance Vector Machine (RVM).
☆23Updated 4 years ago
Related projects: ⓘ
- Vector Quantile Regression☆19Updated last year
- Parametric Gaussian Process Regression for Big Data☆44Updated 4 years ago
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆73Updated last month
- Data-driven modeling of chaotic systems in the form of SDEs and nonlinear observation maps☆16Updated 4 years ago
- Bayesian Dynamic Mode Decomposition (Bayesian DMD)☆18Updated 2 years ago
- Python and MATLAB code for Stein Variational sampling methods☆23Updated 5 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated 7 months ago
- Pytorch implementation of "Inferring Causal Dependencies between Chaotic Dynamical Systems from Sporadic Time Series"☆9Updated 4 years ago
- ☆12Updated last year
- This project provides Slow Feature Analysis as a scikit-learn-style package.☆33Updated 11 months ago
- Welcome to Uncertainty Metrics! The goal of this library is to provide an easy-to-use interface for both measuring uncertainty across Goo…☆21Updated 3 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 4 years ago
- ☆24Updated 6 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆28Updated 2 months ago
- a collection of modern sparse (regularized) linear regression algorithms.☆63Updated 4 years ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆35Updated 2 years ago
- ☆12Updated 6 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 4 years ago
- Predictive principal component analysis (PredPCA)☆18Updated 2 years ago
- Dynamic mode decomposition with dependent structure among observables (Graph DMD)☆11Updated 4 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 5 years ago
- Optimal Hard Threshold for Matrix Denoising☆37Updated 3 years ago
- sliced: scikit-learn compatible sufficient dimension reduction☆20Updated 2 months ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆36Updated last year
- ☆11Updated 3 years ago
- Use Bayesian Global Optimization to solve inverse problems☆13Updated 9 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆59Updated 3 years ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Updated 5 years ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆20Updated 3 years ago
- Official documentation☆23Updated 3 years ago