SinaMohseni / ML-Interpretability-Evaluation-BenchmarkView external linksLinks
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
Sorting:
- Towards Visual Explanations for Convolutional Neural Networks via Input Resampling☆13Aug 16, 2017Updated 8 years ago
- CLEARumor: ConvoLving ELMo against Rumors☆11Jul 25, 2024Updated last year
- Python package for egocentric network analysis☆14Feb 6, 2018Updated 8 years ago
- This is a tutorial to implement DeconvNet, Backpropagation, SmoothGrad, and GuidedBackprop using Keras.☆24Aug 20, 2022Updated 3 years ago
- ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.☆21Jul 25, 2024Updated last year
- Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"☆32Sep 25, 2019Updated 6 years ago
- Java interface to tauargus☆14Sep 26, 2025Updated 4 months ago
- Code to reproduce results in "Finding Streams in Knowledge Graphs to Support Fact Checking"☆35Apr 30, 2025Updated 9 months ago
- NILE : Natural Language Inference with Faithful Natural Language Explanations☆30Jun 12, 2023Updated 2 years ago
- Programming Assignment Project for Information Visualization Course on University of Chinese Academy of Sciences☆12Mar 10, 2017Updated 8 years ago
- The MobSTr dataset provides artifacts that demonstrate Model-based Safety Assurance and Traceability for a safety-critical automotive sys…☆10Mar 18, 2022Updated 3 years ago
- Visualizing Deep Networks by Optimizing with Integrated Gradients (I-GOS)☆35Nov 22, 2022Updated 3 years ago
- This repository is all about papers and tools of Explainable AI☆36Dec 20, 2019Updated 6 years ago
- Interpretation of Neural Network is Fragile☆36May 1, 2024Updated last year
- A Python library for pruning and visualizing Keras Neural Networks' structure and weights☆10Dec 24, 2019Updated 6 years ago
- Fractals using Python 3☆10Apr 9, 2021Updated 4 years ago
- Source code for the Observatory of Anonymity☆10Dec 5, 2022Updated 3 years ago
- Automated Question-Answering Over Knowledge Graphs in O&M of Wind Turbines☆12Aug 16, 2022Updated 3 years ago
- DeFactoNLP: An Automated Fact-checking System that uses Named Entity Recognition, TF-IDF vector comparison and Decomposable Attention mod…☆41May 25, 2020Updated 5 years ago
- Python 3 wrapper for SentiStrength. SentiStrength is capable of automatic sentiment analysis of up to 16,000 social web texts per second …☆43Dec 7, 2023Updated 2 years ago
- OWASP Foundation Web Respository☆12May 3, 2023Updated 2 years ago
- Run Deekseek LLM model locally with Ollama, deepseek-r1:1.5b, and React☆11Jan 29, 2025Updated last year
- Demonstration of the NEON approach for explainable clustering.☆11Mar 17, 2022Updated 3 years ago
- A SHA-3 finalist hash (BLAKE) reversal using rainbow tables.☆15Jul 1, 2017Updated 8 years ago
- A new and more effective method for dynamic hedging☆14Jan 11, 2018Updated 8 years ago
- [NeurIPS 23] Characterizing OOD Error via Optimal Transport☆13Nov 19, 2023Updated 2 years ago
- Browser detection based on feature inspection☆27Feb 2, 2026Updated 2 weeks ago
- Experiments from our work Uncertainty Quantification and Deep Ensemble☆10Nov 1, 2021Updated 4 years ago
- A module for pulling python license data from `environment.yaml` and `requirements.txt` files☆11Nov 23, 2018Updated 7 years ago
- Adversarial learning by utilizing model interpretation☆10Oct 19, 2018Updated 7 years ago
- ☆13Nov 22, 2022Updated 3 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
- Etalab's Lab IA Pseudonymization Demo source code☆11Aug 3, 2023Updated 2 years ago
- MATLAB Simulink Based Fault Tree Analyzer☆10Mar 12, 2024Updated last year
- My practical approach to learning Neural Network concepts☆10Jun 11, 2019Updated 6 years ago
- The contrastive token loss function for reducing generative repetition of autoregressive neural language models.☆13May 11, 2022Updated 3 years ago
- Experimental toolbox for quantum Shapley values.☆10Jan 2, 2024Updated 2 years ago
- ☆12Jun 17, 2022Updated 3 years ago
- Code for RELAX, a framework for explaining representations.☆12Jan 7, 2024Updated 2 years ago