Light version of Network Dissection for Quantifying Interpretability of Networks
☆221May 6, 2019Updated 7 years ago
Alternatives and similar repositories for NetDissect-Lite
Users that are interested in NetDissect-Lite are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks☆30Feb 8, 2018Updated 8 years ago
- IBD: Interpretable Basis Decomposition for Visual Explanation☆52Nov 28, 2018Updated 7 years ago
- Visualizer for Deep Neural Networks☆294Nov 22, 2022Updated 3 years ago
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…☆310Jan 9, 2021Updated 5 years ago
- There and Back Again: Revisiting Backpropagation Saliency Methods (CVPR 2020)☆53Apr 7, 2020Updated 6 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.
- ☆226Oct 25, 2020Updated 5 years ago
- ☆11Apr 18, 2021Updated 5 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆351Jul 22, 2020Updated 6 years ago
- Compositional Explanations of Neurons, NeurIPS 2020 https://arxiv.org/abs/2006.14032☆27Apr 9, 2021Updated 5 years ago
- Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"☆32Sep 25, 2019Updated 6 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆335Nov 30, 2021Updated 4 years ago
- Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/☆1,765May 23, 2021Updated 5 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆54Mar 25, 2022Updated 4 years ago
- This repository is a pytorch implementation of interpretable compositional convolutional neural networks.☆22May 24, 2023Updated 3 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.
- Visualizing how deep networks make decisions☆67Jul 12, 2019Updated 7 years ago
- zero-shot-gcn in pytorch☆80Apr 5, 2019Updated 7 years ago
- Pytorch implementation of convolutional neural network visualization techniques☆8,234Jan 1, 2025Updated last year
- 'Robust Semantic Interpretability: Revisiting Concept Activation Vectors' Official Implementation☆11Jul 15, 2020Updated 6 years ago
- A neural network visualization toolkit for pytorch☆14Feb 2, 2018Updated 8 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆132Jul 8, 2018Updated 8 years ago
- Code of the paper "Part Detector Discovery in Deep Convolutional Neural Networks" by Marcel Simon, Erik Rodner and Joachim Denzler☆17Nov 12, 2014Updated 11 years ago
- visualization of CNN in PyTorch☆153Sep 4, 2023Updated 2 years ago
- Towards Automatic Concept-based Explanations☆165May 1, 2024Updated 2 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.
- Quantitative Testing with Concept Activation Vectors in PyTorch☆45Updated this week
- Official implementation for the CVPR paper "Convolutional Dynamic Alignment Networks for Interpretable Classifications"☆30Aug 17, 2023Updated 3 years ago
- Interpreting CNN Knowledge via an Explanatory Graph☆70Oct 25, 2020Updated 5 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆164Mar 19, 2020Updated 6 years ago
- The official Codes for NeurIPS 2019 paper. Quanfu Fan, Ricarhd Chen, Hilde Kuehne, Marco Pistoia, David Cox, "More Is Less: Learning Effi…☆53Jun 28, 2020Updated 6 years ago
- [ICCVW 2019] PyTorch code for Class Visualization Pyramid for intpreting spatio-temporal class-specific activations throughout the networ…☆22Mar 9, 2020Updated 6 years ago
- A prototype for distributed training/validation/evaluation/extraction with PyTorch.☆14Jun 13, 2020Updated 6 years ago
- CCAs for looking into DNNs☆70Jul 31, 2020Updated 6 years ago
- ☆39Apr 16, 2018Updated 8 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A PyTorch implementation of the paper "Visualizing and Understanding Convolutional Networks." (ECCV 2014)☆205Aug 5, 2018Updated 8 years ago
- Code for the paper "Interpreting video features: A comparison of 3D Convolutional networks and Convolutional LSTM networks"☆11Dec 14, 2020Updated 5 years ago
- Code for the TCAV ML interpretability project☆654Jul 22, 2026Updated last month
- Code example for the paper, "Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robust…☆23Feb 21, 2024Updated 2 years ago
- ☆11Sep 20, 2019Updated 6 years ago
- The pretrained models trained on Moments in Time Dataset☆367Oct 9, 2020Updated 5 years ago
- ☆52Aug 29, 2020Updated 6 years ago