probabilisticai / probai-2022
Materials of the Nordic Probabilistic AI School 2022.
☆171Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for probai-2022
- Materials of the Nordic Probabilistic AI School 2023.☆86Updated last year
- ☆145Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 3 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆189Updated 7 months ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆301Updated 3 weeks ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆121Updated 2 years ago
- Uncertainty quantification with PyTorch☆328Updated 2 weeks ago
- A library for uncertainty quantification based on PyTorch☆119Updated 2 years ago
- ☆20Updated 2 years ago
- Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023☆17Updated last year
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆76Updated 8 months ago
- Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.☆526Updated this week
- Likelihood-free AMortized Posterior Estimation with PyTorch☆119Updated 2 months ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆87Updated 6 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆425Updated 2 months ago
- Simple (and cheap!) neural network uncertainty estimation☆55Updated 2 months ago
- Parameter-Free Optimizers for Pytorch☆109Updated 6 months ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆47Updated 3 years ago
- State Space Models library in JAX☆695Updated last week
- Gaussian processes in JAX.☆461Updated 2 weeks 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…☆49Updated last year
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆131Updated last year
- Laplace approximations for Deep Learning.☆471Updated this week
- ☆141Updated last year
- Recursive Bayesian Estimation (Sequential / Online Inference)☆58Updated 7 months ago
- Normalizing flows in PyTorch☆329Updated last month
- Structural Time Series in JAX☆184Updated 6 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆94Updated 2 months ago
- Agustinus' very opiniated publication-ready plotting library☆58Updated 2 months ago
- ☆235Updated last year