25 dependents
| Package | Description | Downloads/month |
|---|---|---|
| FL Lifecycle Operations Management Platform | 6K | |
| BNNR — Train → Explain → Improve → Prove | 4K | |
| Training framework for easy creation, training and exporting of deep learning mo... | 4K | |
| Open source, scalable acoustic data analysis for ecology and conservation | 3K | |
| Shape Analysis Explainability And Interpretability | 2K | |
| A comprehensive benchmark and code base for Image manipulation and localization. | 2K | |
| Python packages that enable XAI methods for YOLOv8 | 2K | |
| An XAI fairness assessment framework for face attribute classifiers | 1K | |
| A package for explaining deep learning models | 763 | |
| Unsupervised Semantic Segmentation for Pathology | 690 | |
| Class Activation Map generation for nnUNet v2 models | 686 | |
| A powerful baseline for image classification, face recognition and image retriev... | 581 | |
| A comprehensive benchmark and code base for Image manipulation and localization. | 520 | |
| Multi-task Library to Develop Computer-Aided Tools for Medical Data Analysis | 448 | |
| A package for analysis of MRI | 425 | |
| MEEGNet is an open-source Python toolbox for neuroscientists interested in using... | 407 | |
| SpuCo is a Python package developed to further research to address spurious corr... | 353 | |
| high-resolution anomaly detection | 320 | |
| A CNN ensembling framework for PyTorch | 242 | |
| Explainable AI (XAI) and YOLO visualization + layer inspection utilities | 234 | |
| A comprehensive computer vision framework for training, evaluation, and visualiz... | 210 | |
| Toolkit for explainability by BrachioLab | 192 | |
| [NeurlPS 2025] A Unified Benchmark & Codebase for All-Domain Fake Image Detectio... | 131 | |
| Structuring Hidden Features via Clustering of Unit-Level Activation | 87 | |
| 34 |
