RussellTsuchida / snefy
An implementation of squared neural families in PyTorch
☆11Updated 5 months ago
Alternatives and similar repositories for snefy:
Users that are interested in snefy are comparing it to the libraries listed below
- Squared Non-monotonic Probabilistic Circuits☆22Updated 2 months ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- Code for Gaussian Score Matching Variational Inference☆33Updated last month
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated last year
- ☆50Updated 2 years ago
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Updated 3 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆21Updated 2 years ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆46Updated last week
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 5 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆18Updated 3 years ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆20Updated 8 months ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆45Updated 4 years ago
- Normalizing Flows using JAX☆83Updated last year
- Public code for running Stochastic Gradient Descent on GPs.☆36Updated 5 months ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆42Updated last year
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Updated last year
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- A generic interface for linear algebra backends☆73Updated last month
- ☆52Updated last year
- ☆22Updated 4 years ago
- An implementation of EinsumNetworks in PyTorch.☆21Updated 2 months ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆21Updated 4 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆102Updated last year
- A simple pytorch implementation of Langevin Monte Carlo algorithms.☆48Updated 4 years ago