This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data
☆30May 24, 2021Updated 4 years ago
Alternatives and similar repositories for ML-Interpretability-Evaluation-Benchmark
Users that are interested in ML-Interpretability-Evaluation-Benchmark are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆77Mar 26, 2022Updated 4 years ago
- Towards Visual Explanations for Convolutional Neural Networks via Input Resampling☆13Aug 16, 2017Updated 8 years ago
- JavaScript based graph visualization library with emphasis on customization and modularity.☆13Mar 21, 2019Updated 7 years ago
- Implementation of a simple frame identification approach (SimpleFrameId) described in the paper "Out-of-domain FrameNet Semantic Role Lab…☆15Apr 3, 2017Updated 9 years ago
- CLEARumor: ConvoLving ELMo against Rumors☆11Jul 25, 2024Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Hybrid algorithm based on SEDC and LIME for computing Evidence Counterfactuals (LIME-Counterfactual): explaining the model predictions of…☆10May 20, 2020Updated 5 years ago
- An evaluation toolbox for machine learning explanations☆16Jan 7, 2024Updated 2 years ago
- This repository contains all the tools we are working with related to Chequeabot's ecosystem.☆15May 27, 2025Updated 11 months ago
- Adversarial Black box Explainer generating Latent Exemplars☆11May 18, 2022Updated 3 years ago
- ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.☆21Jul 25, 2024Updated last year
- Heuristic best-first algorithm for computing Evidence Counterfactuals (SEDC): explaining the model predictions of any classifier using a …☆14Jun 8, 2020Updated 5 years ago
- This is a tutorial to implement DeconvNet, Backpropagation, SmoothGrad, and GuidedBackprop using Keras.☆24Aug 20, 2022Updated 3 years ago
- Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"☆46Jan 17, 2024Updated 2 years ago
- Code & Data for the paper "Learning to Deceive with Attention-Based Explanations"☆18Jan 22, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆11Sep 21, 2020Updated 5 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆133Jul 8, 2018Updated 7 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Jan 22, 2021Updated 5 years ago
- Automated Question-Answering Over Knowledge Graphs in O&M of Wind Turbines☆13Aug 16, 2022Updated 3 years ago
- Counterfactual Local Explanations of AI systems☆28Jul 10, 2021Updated 4 years ago
- clock_plot provides a simple way to visualize timeseries data, mapping 24 hours onto the 360 degrees of a polar plot☆15Apr 5, 2022Updated 4 years ago
- ☆72May 12, 2020Updated 5 years ago
- Code to reproduce results in "Finding Streams in Knowledge Graphs to Support Fact Checking"☆35Apr 30, 2025Updated last year
- Normalized Wasserstein for Mixture Distributions☆11Mar 24, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This repository provides a PyTorch implementation of "Fooling Neural Network Interpretations via Adversarial Model Manipulation". Our pap…☆23Dec 19, 2020Updated 5 years ago
- ☆23Feb 8, 2024Updated 2 years ago
- [NeurIPS 23] Characterizing OOD Error via Optimal Transport☆13Nov 19, 2023Updated 2 years ago
- EMNLP 2022: Analyzing and Evaluating Faithfulness in Dialogue Summarization☆13Mar 20, 2025Updated last year
- Write Claim Reviews for Tweets☆11Dec 24, 2019Updated 6 years ago
- The contrastive token loss function for reducing generative repetition of autoregressive neural language models.☆13May 11, 2022Updated 3 years ago
- Benchmarks for Macro Neural Architecture Search; used and described in the paper "Local Search is a Remarkably Strong Baseline for Neural…☆13Jul 25, 2024Updated last year
- Experimental toolbox for quantum Shapley values.☆10Jan 2, 2024Updated 2 years ago
- ☆10Jun 22, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆12Jun 17, 2022Updated 3 years ago
- Collection of notebooks exploring conv nets in detail.☆10Sep 14, 2017Updated 8 years ago
- A curated list of personalized Language model / Large language model (continually updated)☆10Nov 17, 2023Updated 2 years ago
- Official repository of "Minibatch optimal transport distances; analysis and applications" (https://arxiv.org/pdf/2101.01792.pdf)☆10Oct 15, 2021Updated 4 years ago
- Dynamic Time-Aware Attention to Speaker Roles and Contexts for Spoken Language Understanding☆14Sep 28, 2017Updated 8 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆132Aug 22, 2020Updated 5 years ago
- Fractals using Python 3☆10Apr 9, 2021Updated 5 years ago