mlcolab / sbi-workshopLinks
SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory
☆23Updated 2 years ago
Alternatives and similar repositories for sbi-workshop
Users that are interested in sbi-workshop are comparing it to the libraries listed below
Sorting:
- Conditional density estimation with neural networks☆34Updated 9 months ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆133Updated 5 months ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆72Updated 4 months ago
- Simulation-based inference in JAX☆37Updated 6 months ago
- Simulation-based inference benchmark☆103Updated 9 months ago
- MCHMC: sampler from an arbitrary differentiable distribution☆74Updated 5 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
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year
- Likelihood-Free Frequentist Inference☆19Updated last week
- Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification (Huang et al., Neurips 2023)☆11Updated 3 months ago
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated last month
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆11Updated 2 years ago
- Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms☆15Updated 3 years ago
- Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.☆60Updated last year
- Fast, lightweight and parallelised simulation-based inference in JAX.☆19Updated this week
- Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.☆13Updated 2 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 9 months ago
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆251Updated 2 months ago
- Meeting repo for likelihood free inference meeting☆14Updated 3 years ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 years ago
- Probabilistic Programming and Nested sampling in JAX☆209Updated 2 months ago
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- A JAX-based gaussian process structure learning package for time series modelling.☆23Updated 5 months ago
- A miscellaneous set of helper functions, custom distributions, and other utilities that I find useful when using NumPyro in my work☆27Updated 8 months ago
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆58Updated last year
- Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.☆27Updated 3 years ago
- A generic interface for linear algebra backends☆74Updated 7 months ago