probabilisticai / probai-2022Links
Materials of the Nordic Probabilistic AI School 2022.
☆179Updated 3 years ago
Alternatives and similar repositories for probai-2022
Users that are interested in probai-2022 are comparing it to the libraries listed below
Sorting:
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆216Updated last year
- ☆154Updated 3 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆90Updated 7 months ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆309Updated 3 months ago
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 4 years ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Agustinus' very opiniated publication-ready plotting library☆69Updated 5 months ago
- Uncertainty quantification with PyTorch☆372Updated last week
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆181Updated 2 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆237Updated last year
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- ☆21Updated 3 years ago
- Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023☆17Updated 2 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆89Updated last year
- A statistical toolkit for scientific discovery using machine learning☆80Updated last year
- Algorithms for computations on random manifolds made easier☆93Updated last year
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆176Updated last year
- Simple (and cheap!) neural network uncertainty estimation☆70Updated 4 months ago
- Laplace approximations for Deep Learning.☆517Updated 5 months ago
- ☆311Updated 7 months ago
- ☆142Updated this week
- ☆245Updated 2 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆142Updated 3 months ago
- Deep Learning, an Energy Approach☆214Updated 3 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆458Updated last year
- Tutorial on amortized optimization for learning to optimize over continuous domains☆243Updated 7 months ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago