airbus / decomonLinks
☆37Updated 3 weeks ago
Alternatives and similar repositories for decomon
Users that are interested in decomon are comparing it to the libraries listed below
Sorting:
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers☆100Updated 6 months ago
- 👋 Influenciae is a Tensorflow Toolbox for Influence Functions☆64Updated last year
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.☆60Updated 2 weeks ago
- New implementations of old orthogonal layers unlock large scale training.☆21Updated 3 weeks ago
- 👋 Xplique is a Neural Networks Explainability Toolbox☆702Updated last year
- Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see ht…☆34Updated this week
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆349Updated 4 months ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆248Updated 2 years ago
- 👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)☆30Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated 2 years ago
- 🐟 CODS - Conformal Object Detection and Segmentation☆17Updated last week
- An interactive framework to visualize and analyze your AutoML process in real-time.☆91Updated this week
- Open-source framework for uncertainty and deep learning models in PyTorch☆433Updated this week
- Reliability diagrams visualize whether a classifier model needs calibration☆158Updated 3 years ago
- ☆88Updated 5 months ago
- Materials of the Nordic Probabilistic AI School 2022.☆179Updated 3 years ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆625Updated 2 months ago
- 🪄 Interpreto is an interpretability toolbox for LLMs☆35Updated this week
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆90Updated 7 months ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆266Updated 3 weeks ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Utilities to perform Uncertainty Quantification on Keras Models☆119Updated last year
- A Library for Uncertainty Quantification.☆919Updated 5 months ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆39Updated last year
- Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning☆199Updated this week
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆170Updated 3 months ago
- ☆471Updated this week
- Lightweight ML Experiment Logging 📖☆80Updated last year
- Lightweight Hyperparameter Optimization 🚂☆150Updated last year
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆366Updated last year