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.☆179Updated 3 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆220Updated last year
- Parameter-Free Optimizers for Pytorch☆131Updated last year
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆176Updated last year
- ☆154Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 4 months ago
- Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023☆17Updated 2 years ago
- CausalPFN: Amortized Causal Effect Estimation via In-Context Learning☆58Updated 2 months ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆90Updated 7 months ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆89Updated last year
- 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
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- A statistical toolkit for scientific discovery using machine learning☆80Updated last year
- Simple (and cheap!) neural network uncertainty estimation☆72Updated 2 weeks ago
- Public dataset repository for the Causal Chamber Project☆47Updated 3 months ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆249Updated 2 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆237Updated last year
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆70Updated 2 years ago
- Bayesian active learning with EPIG data acquisition☆34Updated last month
- ☆51Updated last year
- ☆249Updated 2 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆145Updated 4 months ago
- Large-scale uncertainty benchmark in deep learning.☆63Updated 5 months ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆70Updated 11 months ago
- Mutual information estimators and benchmark☆53Updated last month
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆309Updated 4 months ago