Pytorch implementation of various neural network interpretability methods
☆119Mar 8, 2022Updated 4 years ago
Alternatives and similar repositories for nn_interpretability
Users that are interested in nn_interpretability are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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
- This script evaluates the sensitivity of VGG-16 to occlusion using Keras☆12Nov 9, 2016Updated 9 years ago
- Exploration of various methods to visualize layers of deep Convolutional Neural Networks using Pytorch.☆23Oct 4, 2023Updated 2 years ago
- The code snippets for the SW chapter of the "Interpretable AI" book.☆19Apr 10, 2019Updated 7 years ago
- Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)☆23Jun 9, 2025Updated 11 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.
- A Python library for pruning and visualizing Keras Neural Networks' structure and weights☆10Dec 24, 2019Updated 6 years ago
- code for "Training Interpretable Convolutional NeuralNetworks by Differentiating Class-specific Filters"☆29Jun 23, 2025Updated 11 months ago
- Implementation of the paper "Shapley Explanation Networks"☆88Jan 16, 2021Updated 5 years ago
- Public facing deeplift repo☆873Apr 28, 2022Updated 4 years ago
- Official PyTorch implementation of paper "Schema Inference for Interpretable Image Classification" (ICLR 2023)☆15Apr 6, 2023Updated 3 years ago
- PyTorch implementation of 'Vanilla' Gradient, Grad-CAM, Guided backprop, Integrated Gradients and their SmoothGrad variants.☆20Feb 15, 2026Updated 3 months ago
- ☆17Jul 9, 2025Updated 10 months ago
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆17Aug 7, 2022Updated 3 years ago
- Integrated Grad-CAM (submitted to ICASSP2021 conference)☆19Feb 8, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆115Nov 21, 2022Updated 3 years ago
- Class Activation Map(CAM) with Pytorch☆67Apr 16, 2020Updated 6 years ago
- HIVE: Evaluating the Human Interpretability of Visual Explanations (ECCV 2022)☆22Jan 19, 2023Updated 3 years ago
- An interpretable network to compute the Shapley values in a single forward propagation.☆16May 24, 2023Updated 3 years ago
- Image classification on stanford-car dataset with high accuracy☆17Jun 16, 2019Updated 6 years ago
- ☆11May 7, 2021Updated 5 years ago
- Gradient-weighted Class Activation Mapping (Grad-CAM) Demo☆111Aug 13, 2018Updated 7 years ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Jun 24, 2022Updated 3 years ago
- ☆11Jun 5, 2021Updated 4 years ago
- 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.
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆144Jan 14, 2026Updated 4 months ago
- Server to authenticate, sign, aggregate and forward CAP 1.2 alerts☆15Jun 2, 2015Updated 10 years ago
- ☆23Dec 25, 2018Updated 7 years ago
- Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"☆29Mar 19, 2021Updated 5 years ago
- Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers☆97Aug 21, 2018Updated 7 years ago
- This repository including most of cnn visualizations techniques using pytorch☆14Apr 14, 2020Updated 6 years ago
- SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping☆107Sep 24, 2023Updated 2 years ago
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆42Sep 17, 2025Updated 8 months ago
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆336Jun 13, 2022Updated 3 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- LaTeX template for MAS R&D and thesis proposals☆11May 16, 2022Updated 4 years ago
- A Generative Adversarial Network Model Alternative to Animal Studies for Clinical Pathology Assessment☆17Jan 10, 2024Updated 2 years ago
- A python library for eXplainable Reinforcement Learning (XRL) based on the concept of interestingness elements.☆22May 22, 2021Updated 5 years ago
- ☆12Feb 17, 2025Updated last year
- Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework☆46Jan 12, 2023Updated 3 years ago
- Model interpretability and understanding for PyTorch☆5,628May 9, 2026Updated 2 weeks ago
- Code for the paper "Neural Architecture Search of SPD Manifold Networks" IJCAI 2021☆14Feb 18, 2022Updated 4 years ago