Dataset and code for the CLEVR-XAI dataset.
☆34Oct 3, 2023Updated 2 years ago
Alternatives and similar repositories for clevr-xai
Users that are interested in clevr-xai are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆17Aug 7, 2022Updated 4 years ago
- I can no longer cope with maintaining of up-to-date academic CVs in the billions of possible required formats. Procrastinating with this…☆10Jun 24, 2026Updated 3 months ago
- Explanation Ontology Resource website☆13Jun 8, 2024Updated 2 years ago
- Thesis project about Visual Anomaly Detection based on Self Supervised Learning. The model identifies anomalies from information acquired…☆11Apr 14, 2023Updated 3 years ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Jun 24, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Benchmark to Evaluate EXplainable AI☆21Mar 14, 2025Updated last year
- PyTorch implementation of SmoothTaylor☆15Sep 5, 2021Updated 5 years ago
- [NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models" 🐍☆47Nov 6, 2024Updated last year
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆248May 13, 2026Updated 4 months ago
- Official implementation for the CVPR paper "Convolutional Dynamic Alignment Networks for Interpretable Classifications"☆30Aug 17, 2023Updated 3 years ago
- ☆12Oct 23, 2022Updated 3 years ago
- B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks☆19Jun 22, 2022Updated 4 years ago
- [JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆674Sep 5, 2026Updated 3 weeks ago
- Official implementation of "ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppress…☆23Sep 25, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆11Dec 28, 2019Updated 6 years ago
- Thai sentiment analysis dataset☆10Sep 29, 2019Updated 6 years ago
- Optimizing Hyperparameters with Conformal Quantile Regression☆11May 22, 2023Updated 3 years ago
- This repository contains code for explaining prototypes learned by ProtoPNet, by quantifying the influence of color hue, shape, texture, …☆17Mar 31, 2021Updated 5 years ago
- Myanmar and Thai Language Resources☆10Jul 18, 2022Updated 4 years ago
- ☆29Nov 2, 2021Updated 4 years ago
- A Python framework for the quantitative evaluation of eXplainable AI methods☆18Mar 29, 2023Updated 3 years ago
- A toolkit for quantitative evaluation of data attribution methods.☆60Updated this week
- Centralized registry of Jitsi rooms and pdfs for OHBM 2020 posters.☆32Jun 25, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A package for performing time series classification in Weka.☆10Aug 16, 2023Updated 3 years ago
- JAX implementation of "Fine-Tuning Language Models with Just Forward Passes"☆19Jun 10, 2023Updated 3 years ago
- CartoonX is a saliency map method for image classifiers operating in the wavelet/shearlet domain.☆10Feb 23, 2026Updated 7 months ago
- Greedy Bayesian Posterior Approximation with Deep Ensembles. A. Tiulpin and M. B. Blaschko. (2021)☆11Jul 18, 2022Updated 4 years ago
- Meaningful Local Explanation for Machine Learning Models☆42Apr 2, 2023Updated 3 years ago
- ☆17Dec 21, 2023Updated 2 years ago
- Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.☆12Nov 21, 2023Updated 2 years ago
- parallel corpora for any languages supported by glosbe.com☆11Feb 9, 2016Updated 10 years ago
- ☆17Apr 10, 2026Updated 5 months 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.
- Implementation of LSTM with FCN in keras.☆13Feb 23, 2018Updated 8 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆13Apr 25, 2019Updated 7 years ago
- ☆12Jan 10, 2023Updated 3 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Nov 7, 2021Updated 4 years ago
- Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access☆16Mar 21, 2021Updated 5 years ago
- The Pytorch implementation of Network-In-Network☆11Jun 7, 2018Updated 8 years ago
- This repository is deprecated, please go to https://github.com/davidsonic/Interpretable_CNNs_via_Feedforward_Design☆15Jan 12, 2019Updated 7 years ago