ENSTA-U2IS-AI / torch-uncertaintyLinks
Open-source framework for uncertainty and deep learning models in PyTorch
☆428Updated last week
Alternatives and similar repositories for torch-uncertainty
Users that are interested in torch-uncertainty are comparing it to the libraries listed below
Sorting:
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆729Updated 3 weeks ago
- Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning☆196Updated last week
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆365Updated last year
- ☆110Updated 4 years ago
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆621Updated 5 months ago
- Large-scale uncertainty benchmark in deep learning.☆63Updated 4 months ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆491Updated last year
- Laplace approximations for Deep Learning.☆517Updated 4 months ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆493Updated 4 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆144Updated 2 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆631Updated 3 years ago
- 👽 Out-of-Distribution Detection with PyTorch☆312Updated 2 months 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
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- Simple (and cheap!) neural network uncertainty estimation☆69Updated 3 months ago
- Reliability diagrams visualize whether a classifier model needs calibration☆156Updated 3 years ago
- PyTorch implementation of bayesian neural network [torchbnn]☆542Updated last year
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆245Updated 2 years ago
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆421Updated 2 weeks ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆113Updated 3 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,532Updated 3 months ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆472Updated 2 years ago
- ☆238Updated 5 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆232Updated 10 months ago
- Lightweight, useful implementation of conformal prediction on real data.☆943Updated 3 months ago
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆135Updated 3 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆151Updated 2 years ago
- Our maintained PFN repository. Come here to train SOTA PFNs.☆103Updated last week
- Optimal Transport Dataset Distance☆170Updated 3 years ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆130Updated last year