deel-ai / xpliqueLinks
π Xplique is a Neural Networks Explainability Toolbox
β722Updated this week
Alternatives and similar repositories for xplique
Users that are interested in xplique are comparing it to the libraries listed below
Sorting:
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanationsβ634Updated 4 months ago
- OmniXAI: A Library for eXplainable AIβ959Updated last year
- π Influenciae is a Tensorflow Toolbox for Influence Functionsβ64Updated last year
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.β238Updated 4 months ago
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.β60Updated last week
- π Puncc is a python library for predictive uncertainty quantification using conformal prediction.β358Updated last week
- OpenXAI : Towards a Transparent Evaluation of Model Explanationsβ252Updated last year
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximizationβ139Updated last year
- MetaQuantus is an XAI performance tool to identify reliable evaluation metricsβ39Updated last year
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layersβ100Updated 9 months ago
- A Library for Uncertainty Quantification.β922Updated 7 months ago
- The WeightWatcher tool for predicting the accuracy of Deep Neural Networksβ1,696Updated 3 weeks ago
- Drift Detection for your PyTorch Modelsβ323Updated 3 years ago
- scikit-activeml: A Comprehensive and User-friendly Active Learning Libraryβ180Updated last week
- CORAL and CORN implementations for ordinal regression with deep neural networks.β258Updated 2 months ago
- Frouros: an open-source Python library for drift detection in machine learning systems.β238Updated 2 weeks ago
- Shapley Interactions and Shapley Values for Machine Learningβ651Updated 2 weeks ago
- Open-source framework for uncertainty and deep learning models in PyTorchβ456Updated last month
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a β¦β369Updated last year
- Experiments on Tabular Data Modelsβ282Updated 2 years ago
- β500Updated last year
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithmsβ297Updated 2 years ago
- Hopular: Modern Hopfield Networks for Tabular Dataβ313Updated 3 years ago
- Interpretable ML package π for concise, transparent, and accurate predictive modeling (sklearn-compatible).β1,555Updated 3 weeks ago
- Data Augmentation with Variational Autoencoders (TPAMI)β143Updated 3 years ago
- β38Updated 2 months ago
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to sβ¦β717Updated last week
- For calculating global feature importance using Shapley values.β280Updated last week
- Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the π₯β¦β478Updated last week
- Papers and code of Explainable AI esp. w.r.t. Image classificiationβ225Updated 3 years ago