awslabs / fortunaLinks
A Library for Uncertainty Quantification.
☆916Updated last month
Alternatives and similar repositories for fortuna
Users that are interested in fortuna are comparing it to the libraries listed below
Sorting:
- Python package for conformal prediction☆509Updated 2 months ago
- Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.☆408Updated this week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,414Updated last week
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆242Updated last month
- Lightweight, useful implementation of conformal prediction on real data.☆901Updated this week
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆332Updated last week
- Library for automatic retraining and continual learning☆294Updated 8 months ago
- Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggrega…☆648Updated last year
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆395Updated this week
- Conformalized Quantile Regression☆275Updated 3 years ago
- Laplace approximations for Deep Learning.☆508Updated last month
- Uncertainty quantification with PyTorch☆361Updated 2 months ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆241Updated 2 years ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆163Updated last year
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆266Updated last month
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆598Updated 2 months ago
- Examples of PyMC models, including a library of Jupyter notebooks.☆330Updated last month
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,897Updated 3 months ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆163Updated 9 months ago
- scikit-activeml: Python library for active learning on top of scikit-learn☆168Updated 3 weeks ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆402Updated last week
- Statistical Rethinking (2nd ed.) with NumPyro☆458Updated last month
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆363Updated 10 months ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- Shapley Interactions and Shapley Values for Machine Learning☆562Updated this week
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆449Updated 9 months ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆603Updated 4 months ago
- Practical Guide to Applied Conformal Prediction, published by Packt☆180Updated last month
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆700Updated 3 weeks ago
- The WeightWatcher tool for predicting the accuracy of Deep Neural Networks☆1,614Updated 2 weeks ago