plgreenLIRU / GMM_ConditionalLinks
Finding the conditional distributions of a Gaussian Mixture Model
☆12Updated 5 years ago
Alternatives and similar repositories for GMM_Conditional
Users that are interested in GMM_Conditional are comparing it to the libraries listed below
Sorting:
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Nonparametric Differential Equation Modeling☆54Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated 2 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Random Matrix Theory library - RMT analysis and simulation in Python☆48Updated last year
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 6 months ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆42Updated 2 years ago
- Codes for Hilbert space reduced-rank GP regression☆14Updated 6 years ago
- ☆14Updated 2 years ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆50Updated 4 months ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆12Updated 9 months ago
- Self-tuning HMC algorithms and evaluations☆19Updated 10 months ago
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- Bayesian inference with Python and Jax.☆34Updated 2 years ago
- Gaussian processes regression models with linear inequality constraints☆15Updated last year
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 8 months ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 6 years ago
- Sequential Neural Likelihood☆40Updated 5 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆35Updated 2 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago
- Differentiable computations for the signature-PDE-kernel on CPU and GPU.☆55Updated last year
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆100Updated 2 years ago
- ☆29Updated 2 years ago
- Linear and non-linear spectral forecasting algorithms☆137Updated 4 years ago