probabilisticai / probai-2023Links
Materials of the Nordic Probabilistic AI School 2023.
☆90Updated last year
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 2 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
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆90Updated 6 months ago
- ☆152Updated 2 years ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- Agustinus' very opiniated publication-ready plotting library☆69Updated 4 months ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆89Updated last year
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆176Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 3 months ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆213Updated last year
- Simple (and cheap!) neural network uncertainty estimation☆69Updated 3 months ago
- Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023☆17Updated 2 years ago
- Large-scale uncertainty benchmark in deep learning.☆63Updated 4 months ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 4 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆230Updated 10 months ago
- Public dataset repository for the Causal Chamber Project☆44Updated 2 months ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- CausalPFN: Amortized Causal Effect Estimation via In-Context Learning☆53Updated last month
- A statistical toolkit for scientific discovery using machine learning☆80Updated last year
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆68Updated 9 months ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 3 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…☆56Updated last year
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆244Updated 2 years ago
- Deep Learning, an Energy Approach☆209Updated 3 months ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- ☆51Updated last year
- Bayesian active learning with EPIG data acquisition☆35Updated last week