Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857
☆59Oct 15, 2019Updated 6 years ago
Alternatives and similar repositories for SaliencyMapper
Users that are interested in SaliencyMapper are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Notes on the papers I've read on deep learning. Contributions welcome !☆28Feb 11, 2020Updated 6 years ago
- ☆52Aug 29, 2020Updated 5 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Apr 23, 2022Updated 3 years ago
- Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"☆32Sep 25, 2019Updated 6 years ago
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…☆25Feb 23, 2022Updated 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.
- Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization☆127Apr 13, 2018Updated 8 years ago
- Converts TensorFlow checkpoints (with index, meta and data files) to PyTorch, HDF5 and JSON☆18Feb 26, 2021Updated 5 years ago
- Adversarial learning by utilizing model interpretation☆10Oct 19, 2018Updated 7 years ago
- Code for the paper: "TSViz: Demystification of Deep Learning Models for Time-Series Analysis"☆13May 15, 2019Updated 6 years ago
- Gradient based receptive field estimation for Convolutional Neural Networks☆14Nov 25, 2017Updated 8 years ago
- ☆11Aug 17, 2014Updated 11 years ago
- ☆15Oct 6, 2020Updated 5 years ago
- Official repository for "Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps".☆34Sep 13, 2019Updated 6 years ago
- PyTorch implementation of the ICLR 2018 paper Learning to Pay Attention.☆22May 2, 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.
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆337Nov 30, 2021Updated 4 years ago
- code for "Training Interpretable Convolutional NeuralNetworks by Differentiating Class-specific Filters"☆29Jun 23, 2025Updated 9 months ago
- The codes and dataset for the semantic explainable AI (S-XAI)☆15Feb 23, 2023Updated 3 years ago
- IBD: Interpretable Basis Decomposition for Visual Explanation☆52Nov 28, 2018Updated 7 years ago
- BMVC 2019 - Where are the Masks: Instance Segmentation with Image-level Supervision. This is a ServiceNow Research project that was start …☆25Jun 23, 2022Updated 3 years ago
- ☆30Mar 10, 2022Updated 4 years ago
- VisualBackProp - visualization method for convolutional neural networks☆44Nov 19, 2016Updated 9 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Apr 8, 2018Updated 8 years ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Jul 4, 2018Updated 7 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.
- An implementation of Google's Auto Directed Video Stabilization with Robust L1 Optimal Camera Paths Research Paper done as a self study t…☆34Feb 11, 2026Updated 2 months ago
- ☆11Jul 3, 2018Updated 7 years ago
- This is a patch based Semantic Segmention Project Template