awslabs / fortuna
A Library for Uncertainty Quantification.
☆910Updated 3 weeks ago
Alternatives and similar repositories for fortuna:
Users that are interested in fortuna are comparing it to the libraries listed below
- Python package for conformal prediction☆493Updated 2 weeks ago
- Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.☆403Updated this week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,365Updated this week
- Library for automatic retraining and continual learning☆291Updated 6 months ago
- Lightweight, useful implementation of conformal prediction on real data.☆871Updated last year
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆321Updated 3 months ago
- Uncertainty quantification with PyTorch☆349Updated last week
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆230Updated 3 months ago
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆365Updated 2 weeks ago
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆698Updated 3 weeks ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆238Updated 2 years ago
- Conformalized Quantile Regression☆270Updated 3 years ago
- Laplace approximations for Deep Learning.☆499Updated 2 months ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆141Updated 10 months ago
- Minimum-distortion embedding with PyTorch☆545Updated last year
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,498Updated this week
- A Python package for probabilistic state space modeling with JAX☆802Updated last week
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆578Updated this week
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,877Updated last month
- Gaussian processes in JAX and Flax.☆496Updated this week
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆440Updated 7 months ago
- Fast SHAP value computation for interpreting tree-based models☆537Updated last year
- Shapley Interactions and Shapley Values for Machine Learning☆504Updated this week
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆897Updated last month
- Python implementation of binary and multi-class Venn-ABERS calibration☆154Updated 7 months ago
- Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggrega…☆647Updated last year
- Compositional Linear Algebra☆472Updated 2 weeks ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,426Updated 2 weeks ago
- ☆468Updated 8 months ago
- Quantile Regression Forests compatible with scikit-learn.☆227Updated 3 weeks ago