sbi-benchmark / sbibm
Simulation-based inference benchmark
☆96Updated 2 months ago
Alternatives and similar repositories for sbibm:
Users that are interested in sbibm are comparing it to the libraries listed below
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆102Updated last year
- Conditional density estimation with neural networks☆30Updated 2 months ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆126Updated 7 months ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆113Updated 2 months ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆61Updated 9 months ago
- ☆152Updated 3 weeks ago
- Normalizing Flows using JAX☆83Updated last year
- Code for Gaussian Score Matching Variational Inference☆33Updated last month
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆228Updated last week
- Probabilistic modeling of tabular data with normalizing flows.☆55Updated this week
- Simulation-based inference in JAX☆31Updated last month
- A generic interface for linear algebra backends☆73Updated last month
- A system for scientific simulation-based inference at scale.☆163Updated last year
- MCHMC: sampler from an arbitrary differentiable distribution☆71Updated last month
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆108Updated last year
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Generative models with JAX.☆17Updated 3 months ago
- ☆24Updated last year
- Probabilistic Programming and Nested sampling in JAX☆172Updated 3 months ago
- Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification (Huang et al., Neurips 2023)☆10Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆124Updated 5 months ago
- Sequential Neural Likelihood☆39Updated 5 years ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆232Updated last year
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆36Updated 2 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆98Updated last year
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 2 years ago