RussellTsuchida / snefy
An implementation of squared neural families in PyTorch
☆11Updated 3 months ago
Alternatives and similar repositories for snefy:
Users that are interested in snefy are comparing it to the libraries listed below
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆42Updated last year
- Squared Non-monotonic Probabilistic Circuits☆21Updated last month
- Code for Gaussian Score Matching Variational Inference☆32Updated 4 months ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated last year
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated last year
- Riemannian Convex Potential Maps☆67Updated last year
- Normalizing Flows using JAX☆82Updated last year
- ☆30Updated 5 months ago
- A generic interface for linear algebra backends☆71Updated 7 months ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 3 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆36Updated 3 months ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆9Updated 2 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆31Updated 2 years ago
- Matrix-free linear algebra in JAX.☆114Updated last month
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 5 years ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities