ENSTA-U2IS-AI / torch-uncertaintyLinks
Open-source framework for uncertainty and deep learning models in PyTorch
☆415Updated this 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…☆711Updated last month
- Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning☆191Updated this week
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆613Updated 3 months ago
- ☆109Updated 4 years ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆364Updated last year
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆482Updated last year
- Large-scale uncertainty benchmark in deep learning.☆61Updated 2 months ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆487Updated 3 years ago
- Laplace approximations for Deep Learning.☆515Updated 3 months ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆627Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆143Updated 2 years ago
- 👽 Out-of-Distribution Detection with PyTorch☆303Updated last month
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- PyTorch implementation of bayesian neural network [torchbnn]☆539Updated last year
- Reliability diagrams visualize whether a classifier model needs calibration☆154Updated 3 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 3 years ago
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆415Updated 3 weeks 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…☆54Updated last year
- Simple (and cheap!) neural network uncertainty estimation☆68Updated 2 months ago
- ☆237Updated 5 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆150Updated 2 years ago
- 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
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,520Updated last month
- Awesome Domain Adaptation Python Toolbox☆342Updated 9 months ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆470Updated 2 years ago
- Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"☆22Updated last year
- Optimal Transport Dataset Distance☆168Updated 3 years ago
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆133Updated 3 years ago
- Official repository for "Estimating Epistemic and Aleatoric Uncertainty with a Single Model"☆21Updated 9 months ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆131Updated last year