Implementation of the paper "Shapley Explanation Networks"
☆88Jan 16, 2021Updated 5 years ago
Alternatives and similar repositories for ShapleyExplanationNetworks
Users that are interested in ShapleyExplanationNetworks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆10Feb 12, 2019Updated 7 years ago
- A comprehensive overview of Data Distillation and Condensation (DDC). DDC is a data-centric task where a representative (i.e., small but …☆13Dec 1, 2022Updated 3 years ago
- ISeeU2: visually interpretable ICU mortality prediction using deep learning and free-text medical notes☆10Jun 28, 2020Updated 6 years ago
- Code for the paper "Model Agnostic Interpretability for Multiple Instance Learning".☆13Jan 28, 2022Updated 4 years ago
- This is a Pytorch Implementation of the DASP algorithm from the paper "Explaining Deep Neural Networks with a Polynomial Time Algorithm f…☆11Jun 12, 2020Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- A Python library for pruning and visualizing Keras Neural Networks' structure and weights☆11Dec 24, 2019Updated 6 years ago
- Interpretability of Machine Learning-Visualizations☆12Jul 9, 2018Updated 8 years ago
- Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)☆15Feb 24, 2026Updated 8 months ago
- ☆12Mar 26, 2021Updated 5 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆52Jul 23, 2020Updated 6 years ago
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆228Jan 1, 2026Updated 10 months ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆126Mar 22, 2021Updated 5 years ago
- ☆34Jan 3, 2023Updated 3 years ago
- In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)☆40Mar 4, 2020Updated 6 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- code for the paper https://arxiv.org/abs/1902.00407☆13May 30, 2019Updated 7 years ago
- Implementation of the paper titled: "FACE: Feasible and actionable counterfactual recourse" by Rafael et. at. - https://arxiv.org/pdf/190…☆14Dec 12, 2020Updated 5 years ago
- ☆21Oct 25, 2021Updated 5 years ago
- Code for the NeurIPS 2021 paper: Fairness in Ranking under Uncertainty☆10Nov 9, 2021Updated 4 years ago
- Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations is a ServiceNow Research project that was started at Elemen…☆13Jul 31, 2023Updated 3 years ago
- The code snippets for the SW chapter of the "Interpretable AI" book.☆19Apr 10, 2019Updated 7 years ago
- [CVPR'26] Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward☆17Apr 7, 2026Updated 7 months ago
- this repository contains a Colab notebook to classify the heart sound as normal or abnormal☆11Jul 5, 2020Updated 6 years ago
- Pytorch implementation of various neural network interpretability methods☆119Mar 8, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Tools for training explainable models using attribution priors.☆128Mar 19, 2021Updated 5 years ago
- Code and data for the manuscript "Optimal, near-optimal, and robust epidemic control"☆11Jul 23, 2022Updated 4 years ago
- ☆20Jan 23, 2020Updated 6 years ago
- Accelerating Transfer Learning with Robust Neural Nets☆11Oct 2, 2020Updated 6 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆12Aug 17, 2021Updated 5 years ago
- Post-processing for fair classification☆16Jun 30, 2025Updated last year
- Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", publi…☆13Jun 29, 2020Updated 6 years ago
- [ICLR 2022] "Symbolic Learning to Optimize: Towards Interpretability and Scalability" by Wenqing Zheng, Tianlong Chen, Ting-Kuei Hu, Zhan…☆11Jan 21, 2022Updated 4 years ago
- PyTorch implementation of "Metric Learning with Adaptive Density Discrimination"☆13Mar 25, 2019Updated 7 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.
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Jul 22, 2021Updated 5 years ago
- 深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)☆768Apr 8, 2024Updated 2 years ago
- Feature Interaction Interpretability via Interaction Detection☆34Jun 12, 2023Updated 3 years ago
- Official data release to reproduce Confident Learning paper results☆43Feb 17, 2022Updated 4 years ago
- Genetic programming method for explaining complex black-box models☆18Jun 17, 2024Updated 2 years ago
- A set of methods for finding an appropriate number of topics in a text collection☆15Apr 13, 2026Updated 6 months ago
- This repository contains the source code for the article "Towards Feature Selection for Ranking and Classification Exploiting Quantum Ann…☆10Jul 27, 2022Updated 4 years ago