Pytorch implementation of convolutional neural network visualization techniques
gradient-visualization 开源项目推荐(6 个)
gradient-visualization 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 6
GitHub 共 6 个仓库,已全部展示Pytorch implementation of various neural network interpretability methods
This repo contains Grad-CAM for 3D volumes.
Gcam is an easy to use Pytorch library that makes model predictions more interpretable for humans. It allows the generation of attention maps with multiple methods like Guided Backpropagation, Grad-Cam, Guided Grad-Cam and Grad-Cam++.
The project explores CNN architectures (ResNet vs VGG, Deformable CNNs) and 3D scene reconstruction with Tiny NeRF, including ray sampling and volume rendering. Project Year: 2025
Operational transparency for AI systems. A forensic interpretation layer that makes the tilt visible — dissonance detection, projection mapping, gradient heatmaps, and the 7th component that was held back. Designed by ChatGPT. Phantom Token by Gemini. Proyecto Estrella.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 6 个项目;原始页面见 https://github.com/topics/gradient-visualization。
- 该话题在 GitHub 上共有 6 个仓库, 本站收录的是其中最热门的 6 个,不是全量列表。
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- 当前 6 个项目累计 8492 Star,覆盖 3 种主要语言,数据更新于 2026-11-07。
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