probabilisticai / probai-2023Links
Materials of the Nordic Probabilistic AI School 2023.
☆91Updated 2 years ago
Alternatives and similar repositories for probai-2023
Users that are interested in probai-2023 are comparing it to the libraries listed below
Sorting:
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 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☆92Updated 9 months ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆177Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated 6 months ago
- Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023☆17Updated 2 years ago
- ☆155Updated 3 years ago
- Agustinus' very opiniated publication-ready plotting library☆70Updated 7 months ago
- Public dataset repository for the Causal Chamber Project☆54Updated last month
- A course on imprecise probabilistic machine learning☆112Updated last week
- Bayesianize: A Bayesian neural network wrapper in pytorch☆90Updated last year
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆223Updated last year
- A statistical toolkit for scientific discovery using machine learning☆79Updated last year
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆244Updated last year
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 4 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 4 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…☆57Updated 2 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆43Updated 3 years ago
- Bayesian active learning with EPIG data acquisition☆35Updated 3 months ago
- Simple (and cheap!) neural network uncertainty estimation☆78Updated 2 months ago
- Mutual information estimators and benchmark☆55Updated 3 months ago
- ☆251Updated 2 years ago
- ☆52Updated last year
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆311Updated 6 months ago
- Uncertainty quantification with PyTorch☆377Updated 2 months ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago