All Projects → ModelOriented → ArenaR

ModelOriented / ArenaR

Licence: GPL-3.0 license
Data generator for Arena - interactive XAI dashboard

Programming Languages

r
7636 projects

Projects that are alternatives of or similar to ArenaR

mllp
The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
Stars: ✭ 15 (-46.43%)
Mutual labels:  interpretability, xai, iml, explainability
Interpret
Fit interpretable models. Explain blackbox machine learning.
Stars: ✭ 4,352 (+15442.86%)
Mutual labels:  interpretability, xai, iml, explainability
adaptive-wavelets
Adaptive, interpretable wavelets across domains (NeurIPS 2021)
Stars: ✭ 58 (+107.14%)
Mutual labels:  interpretability, xai, explainability
concept-based-xai
Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
Stars: ✭ 41 (+46.43%)
Mutual labels:  interpretability, xai, explainability
interpretable-ml
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
Stars: ✭ 17 (-39.29%)
Mutual labels:  interpretability, xai, iml
Awesome Machine Learning Interpretability
A curated list of awesome machine learning interpretability resources.
Stars: ✭ 2,404 (+8485.71%)
Mutual labels:  interpretability, xai, iml
diabetes use case
Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
Stars: ✭ 22 (-21.43%)
Mutual labels:  interpretability, xai, iml
zennit
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
Stars: ✭ 57 (+103.57%)
Mutual labels:  interpretability, xai, explainability
xai-iml-sota
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
Stars: ✭ 51 (+82.14%)
Mutual labels:  interpretability, xai, iml
deep-explanation-penalization
Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
Stars: ✭ 110 (+292.86%)
Mutual labels:  interpretability, explainability
ProtoTree
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
Stars: ✭ 47 (+67.86%)
Mutual labels:  interpretability, explainability
hierarchical-dnn-interpretations
Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
Stars: ✭ 110 (+292.86%)
Mutual labels:  interpretability, explainability
sage
For calculating global feature importance using Shapley values.
Stars: ✭ 129 (+360.71%)
Mutual labels:  interpretability, explainability
removal-explanations
A lightweight implementation of removal-based explanations for ML models.
Stars: ✭ 46 (+64.29%)
Mutual labels:  interpretability, explainability
Shap
A game theoretic approach to explain the output of any machine learning model.
Stars: ✭ 14,917 (+53175%)
Mutual labels:  interpretability, explainability
ALPS 2021
XAI Tutorial for the Explainable AI track in the ALPS winter school 2021
Stars: ✭ 55 (+96.43%)
Mutual labels:  interpretability, explainability
awesome-graph-explainability-papers
Papers about explainability of GNNs
Stars: ✭ 153 (+446.43%)
Mutual labels:  xai, explainability
Transformer-MM-Explainability
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
Stars: ✭ 484 (+1628.57%)
Mutual labels:  interpretability, explainability
Awesome Production Machine Learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Stars: ✭ 10,504 (+37414.29%)
Mutual labels:  interpretability, explainability
thermostat
Collection of NLP model explanations and accompanying analysis tools
Stars: ✭ 126 (+350%)
Mutual labels:  interpretability, explainability

Cross-compare any ML model with the Arena - an interactive XAI dashboard

Codecov test coverage R build status CRAN_Status_Badge CRAN downloads badge

Overview

Arena is an interactive tool that allows you to explore and compare any model regardless of its internal structure.

The arena can be run in two modes - live (R runs in the background and calculates all necessary explanations) and serverless (all necessary explanations are calculated earlier).

Using the Arena is trivially simple. An example with different levels of advancement is available at http://arenar.drwhy.ai/.

Installation

Install the ArenaR package from GitHub.

devtools::install_github("ModelOriented/ArenaR")
install.packages("arenar")

How to use it

Examples generated with ArenaR

Articles

Guide

Acknowledgments

Work on this package was financially supported by the Polish National Science Centre under Opus Grant number 2017/27/B/ST6/0130.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].