probabilisticai / nordic-probai-2024Links
Materials of the Nordic Probabilistic AI School 2024.
☆66Updated last year
Alternatives and similar repositories for nordic-probai-2024
Users that are interested in nordic-probai-2024 are comparing it to the libraries listed below
Sorting:
- This is a community-driven collection of resources around amortized inference.☆44Updated 9 months ago
- State of the art inference for your bayesian models.☆220Updated 3 months ago
- A Python library for amortized Bayesian workflows using generative neural networks.☆587Updated this week
- Simulation-based inference benchmark☆100Updated 6 months ago
- Gaussian processes in JAX and Flax.☆525Updated last month
- A simple library to run variational inference on Stan models.☆32Updated 2 years ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆121Updated 2 months ago
- ☆177Updated last month
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆210Updated last year
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆69Updated last month
- Tutorial materials of the Probabilistic Numerics Spring School.☆35Updated 2 years ago
- Self-tuning HMC algorithms and evaluations☆19Updated 10 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
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆88Updated 5 months ago
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 2 years ago
- A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…☆58Updated 2 years ago
- A Python package for probabilistic state space modeling with JAX☆849Updated 3 weeks ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆456Updated 11 months ago
- Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification (Huang et al., Neurips 2023)☆11Updated 3 weeks ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆130Updated 11 months ago
- Bayesian inference and posterior analysis for Python☆44Updated last year
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆171Updated last year
- Uncertainty quantification with PyTorch☆367Updated 3 months ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆54Updated last year
- Public dataset repository for the Causal Chamber Project☆42Updated last month
- ☆32Updated 3 years ago
- Efficient, lightweight variational inference and approximation bounds☆42Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆234Updated last year
- PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python☆75Updated 6 months ago