biweidai / SINF
Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)
☆36Updated last year
Alternatives and similar repositories for SINF:
Users that are interested in SINF are comparing it to the libraries listed below
- Probabilistic modeling of tabular data with normalizing flows.☆55Updated 7 months ago
- Neural likelihood-free methods in PyTorch.☆39Updated 4 years ago
- ☆21Updated last year
- Normalizing Flows using JAX☆82Updated last year
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆17Updated 11 months ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆107Updated last year
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆52Updated 7 months ago
- Code for Gaussian Score Matching Variational Inference☆28Updated 3 months ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆121Updated 4 months ago
- Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms☆14Updated 2 years ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆31Updated last year
- Generative models with JAX.☆17Updated 2 weeks ago
- Conditional density estimation with neural networks☆29Updated 4 months ago
- Normalizing Flows with a resampled base distribution☆44Updated 2 years ago
- Simulation-based inference in JAX☆29Updated this week
- Learning Diffusion Priors from Observations by Expectation Maximization☆20Updated last month
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 4 years ago
- Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)☆14Updated 2 years ago
- Simulation-based inference benchmark☆95Updated last month
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆99Updated last year
- Stainless neural networks in JAX☆32Updated 3 months ago
- Gradient Based Nested Sampling☆19Updated 11 months ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- MCHMC: sampler from an arbitrary differentiable distribution☆72Updated this week
- Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.☆24Updated last year
- A system for scientific simulation-based inference at scale.☆163Updated 9 months ago
- Stochastic Normalizing Flows☆73Updated 3 years ago
- ☆22Updated 4 years ago
- Bayesian Uncertainty Quantification by Deep Generative Model☆19Updated 4 years ago
- A repository to store state of the art score model architectures☆45Updated last month