bayesflow-org / bayesflowLinks
A Python library for amortized Bayesian workflows using generative neural networks.
☆622Updated 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☆896Updated 3 weeks ago
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆767Updated 2 weeks ago
- Uncertainty quantification with PyTorch☆377Updated 2 months ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆987Updated 2 weeks ago
- State of the art inference for your bayesian models.☆231Updated 7 months ago
- Gaussian processes in JAX and Flax.☆563Updated last week
- The tiniest of Gaussian Process libraries☆327Updated 3 weeks ago
- Statistical Rethinking (2nd ed.) with NumPyro☆465Updated 7 months ago
- This is a community-driven collection of resources around amortized inference.☆55Updated last year
- Structural Time Series in JAX☆212Updated last year
- Materials of the Nordic Probabilistic AI School 2024.☆66Updated last year
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆269Updated 3 months ago
- Hundreds of strange attractors☆510Updated 3 weeks ago
- Examples of PyMC models, including a library of Jupyter notebooks.☆358Updated last week
- Community-sourced list of papers and resources on neural simulation-based inference.☆138Updated last month
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆122Updated 3 weeks ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆223Updated last year
- Public dataset repository for the Causal Chamber Project☆54Updated last month
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆79Updated 6 months ago
- Python wrapper for nuts-rs☆182Updated last week
- Powerful add-ons for PyMC☆127Updated this week
- Compositional Linear Algebra☆504Updated 4 months ago
- ☆205Updated last month
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆463Updated last year
- Tutorials and sampling algorithm comparisons☆79Updated this week
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆241Updated 2 years ago
- Sequential Monte Carlo in python☆474Updated 2 months ago
- An experimental language for causal reasoning☆244Updated 3 weeks ago
- Simulation-based inference benchmark☆107Updated 11 months ago