desResLab / LINFALinks
A Python library for variational inference with normalizing flow and annealing
☆15Updated 9 months ago
Alternatives and similar repositories for LINFA
Users that are interested in LINFA are comparing it to the libraries listed below
Sorting:
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆19Updated 2 years ago
- ☆30Updated 2 years ago
- Modular Gaussian Processes☆16Updated 4 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 4 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Gradient-informed particle MCMC methods☆12Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆12Updated last year
- A Metropolis-Hastings MCMC sampler accelerated via diffusion models☆16Updated last year
- ☆52Updated 2 years ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Code for Gaussian Score Matching Variational Inference☆35Updated 9 months ago
- Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".☆14Updated 3 years ago
- A generic interface for linear algebra backends☆75Updated last month
- Implementation of Action Matching for the Schrödinger equation☆25Updated 2 years ago
- Simulation-based inference benchmark☆107Updated 10 months ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 7 months ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 4 years ago
- ☆15Updated 4 years ago
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Updated 2 years ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated last month
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated 2 weeks ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated 2 years ago
- Normalizing Flows using JAX☆85Updated 2 years ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated last year
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- A pytorch version of hamiltonian monte carlo☆15Updated 6 years ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆22Updated last year
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆24Updated 4 years ago