sbi-dev / pyknosLinks
Conditional density estimation with neural networks
☆33Updated 9 months ago
Alternatives and similar repositories for pyknos
Users that are interested in pyknos are comparing it to the libraries listed below
Sorting:
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆72Updated 4 months ago
- Simulation-based inference benchmark☆103Updated 9 months ago
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated last month
- Simulation-based inference in JAX☆37Updated 6 months ago
- A system for scientific simulation-based inference at scale.☆164Updated last year
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆110Updated 2 years ago
- MCHMC: sampler from an arbitrary differentiable distribution☆74Updated 5 months ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆130Updated 5 months ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 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
- ☆27Updated last year
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆21Updated last year
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆19Updated 2 years ago
- Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.☆27Updated 3 years ago
- Probabilistic Programming and Nested sampling in JAX☆209Updated 2 months ago
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆251Updated 2 months ago
- Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms☆15Updated 3 years ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- nessai: Nested Sampling with Artificial Intelligence☆42Updated last month
- Fast, lightweight and parallelised simulation-based inference in JAX.☆19Updated 3 weeks ago
- Gaussian Mixture Models in Jax☆23Updated 3 months ago
- Lectures on Bayesian statistics and information theory☆31Updated 5 months ago
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆70Updated 3 weeks ago
- Gradient Based Nested Sampling☆20Updated last year
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 9 months ago
- Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.☆13Updated 2 years ago