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
- The code snippets for the SW chapter of the "Interpretable AI" book.☆19Apr 10, 2019Updated 7 years ago
- PyTorch implementation of SmoothTaylor☆15Sep 5, 2021Updated 5 years ago
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆139Feb 19, 2021Updated 5 years ago
- Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)☆24Jun 9, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for the paper "Explain Any Concept: Segment Anything Meets Concept-Based Explanation". Poster @ NeurIPS 2023☆46Dec 4, 2023Updated 2 years ago
- Official PyTorch implementation of paper "Schema Inference for Interpretable Image Classification" (ICLR 2023)☆16Apr 6, 2023Updated 3 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Jan 16, 2021Updated 5 years ago
- Class Activation Map(CAM) with Pytorch☆67Apr 16, 2020Updated 6 years ago
- Integrated Grad-CAM (submitted to ICASSP2021 conference)☆19Feb 8, 2021Updated 5 years ago
- Code for the paper: Towards Better Understanding Attribution Methods. CVPR 2022.☆16Jun 13, 2022Updated 4 years ago
- HIVE: Evaluating the Human Interpretability of Visual Explanations (ECCV 2022)☆22Jan 19, 2023Updated 3 years ago
- ☆119Nov 21, 2022Updated 3 years ago
- OBsan: An Out-Of-Bound Sanitizer to Harden DNN Executables☆17Feb 28, 2023Updated 3 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 interpretable network to compute the Shapley values in a single forward propagation.☆17May 24, 2023Updated 3 years ago
- ☆10May 7, 2021Updated 5 years ago
- Image classification on stanford-car dataset with high accuracy☆17Jun 16, 2019Updated 7 years ago
- Gradient-weighted Class Activation Mapping (Grad-CAM) Demo☆112Aug 13, 2018Updated 8 years ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆759Aug 25, 2020Updated 6 years ago
- ☆10Jul 18, 2022Updated 4 years ago
- Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"☆29Mar 19, 2021Updated 5 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆29Jul 13, 2019Updated 7 years ago
- ☆24Dec 25, 2018Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆141Jan 14, 2026Updated 9 months ago
- Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", publi…☆13Jun 29, 2020Updated 6 years ago
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆41Sep 17, 2025Updated last year
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Jun 24, 2022Updated 4 years ago
- SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping☆108Sep 24, 2023Updated 3 years ago
- Implementation of data dimensionality reduction algorithms SVD and CUR without using library functions.☆10Jul 24, 2017Updated 9 years ago
- Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework☆46Jan 12, 2023Updated 3 years ago
- Codes and scripts for "Explainable Semantic Space by Grounding Languageto Vision with Cross-Modal Contrastive Learning"☆20Mar 23, 2022Updated 4 years ago
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆335Jun 13, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- low level system stuff, threads, memory, file descriptors etc☆24Sep 16, 2026Updated 3 weeks ago
- ☆18Jul 9, 2025Updated last year
- A python library for eXplainable Reinforcement Learning (XRL) based on the concept of interestingness elements.☆23May 22, 2021Updated 5 years ago
- A collection of different ways to implement accessing and modifying internal model activations for LLMs☆24Oct 18, 2024Updated last year
- ☆12Feb 17, 2025Updated last year
- PyTorch library for breast cancer metastasis detection in whole-slide images of sentinel lymph node tissue from the Camelyon dataset☆15Nov 25, 2019Updated 6 years ago
- The official Node SDK for Scale AI, the data platform for AI☆16Jan 10, 2024Updated 2 years ago