airbus / decomonLinks
☆38Updated 4 months 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☆102Updated 10 months ago
- 👋 Influenciae is a Tensorflow Toolbox for Influence Functions☆64Updated this week
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.☆60Updated last week
- 👋 Xplique is a Neural Networks Explainability Toolbox☆728Updated this week
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆368Updated this week
- 👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)☆33Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆40Updated last year
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆636Updated last week
- ☆90Updated 9 months ago
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 3 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆94Updated this week
- 🐟 CODS - Conformal Object Detection and Segmentation☆20Updated last month
- Making your benchmark of optimization algorithms simple and open☆287Updated last week
- Lightweight Hyperparameter Optimization 🚂☆149Updated last year
- Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see ht…☆39Updated last week
- ☆314Updated 2 weeks ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆239Updated 5 months ago
- An interactive framework to visualize and analyze your AutoML process in real-time.☆94Updated 2 weeks ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆268Updated 4 months ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆470Updated last week
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆299Updated 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…☆255Updated 3 years ago
- scikit-activeml: A Comprehensive and User-friendly Active Learning Library☆182Updated this week
- ☆472Updated 3 months ago
- Reliability diagrams visualize whether a classifier model needs calibration☆164Updated 3 years ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆19Updated 2 years ago
- Neural network verification in JAX☆144Updated 2 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago