bayesflow-org / bayesflowLinks
A Python library for amortized Bayesian workflows using generative neural networks.
☆581Updated this week
Alternatives and similar repositories for bayesflow
Users that are interested in bayesflow are comparing it to the libraries listed below
Sorting:
- A Python package for probabilistic state space modeling with JAX☆838Updated 2 months ago
- Uncertainty quantification with PyTorch☆362Updated 3 months ago
- State of the art inference for your bayesian models.☆219Updated 2 months ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆931Updated 2 months ago
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆713Updated this week
- Gaussian processes in JAX and Flax.☆521Updated 3 weeks ago
- Statistical Rethinking (2nd ed.) with NumPyro☆460Updated 2 months ago
- The tiniest of Gaussian Process libraries☆313Updated last week
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆246Updated last month
- Materials of the Nordic Probabilistic AI School 2024.☆66Updated last year
- This is a community-driven collection of resources around amortized inference.☆44Updated 8 months ago
- Examples of PyMC models, including a library of Jupyter notebooks.☆339Updated 2 weeks ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆210Updated last year
- Compositional Linear Algebra☆478Updated last month
- Structural Time Series in JAX☆195Updated last year
- Likelihood-free AMortized Posterior Estimation with PyTorch☆130Updated 10 months ago
- ☆152Updated 2 years ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆118Updated 2 months ago
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆120Updated 5 months ago
- Normalizing flows in PyTorch☆397Updated last month
- Database with posteriors of interest for Bayesian inference☆202Updated last month
- Probabilistic Numerics in Python.☆452Updated 2 weeks ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆451Updated 10 months ago
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 2 years ago
- Simulation-based inference benchmark☆97Updated 5 months ago
- Sequential Monte Carlo in python☆462Updated last month
- Hundreds of strange attractors☆481Updated 2 weeks ago
- An experimental language for causal reasoning☆215Updated this week
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆233Updated last year
- Powerful add-ons for PyMC☆108Updated this week