Tom-Ryder / VIforSDEs
A variational method for fast, approximate inference for stochastic differential equations.
☆44Updated 6 years ago
Alternatives and similar repositories for VIforSDEs:
Users that are interested in VIforSDEs are comparing it to the libraries listed below
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Python and MATLAB code for Stein Variational sampling methods☆24Updated 5 years ago
- ☆30Updated 2 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Nonparametric Differential Equation Modeling☆53Updated 11 months ago
- Methods and experiments for assumed density SDE approximations☆11Updated 3 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 5 years ago
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- Sequential Neural Likelihood☆39Updated 5 years ago
- ☆15Updated 2 years ago
- ☆13Updated last year
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 3 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 5 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆29Updated 7 months ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆28Updated 5 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆30Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆81Updated 7 months ago
- ☆28Updated 6 years ago
- Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…☆25Updated 10 years ago
- ☆20Updated 3 months ago
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 5 years ago