TorchPRISM VS explainerdashboard

What are some alternatives?

pytorch-grad-cam - Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

deepchecks - Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Transformer-MM-Explainability - [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

WeightWatcher - The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

TorchDrift - Drift Detection for your PyTorch Models

backpack - BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

delve - PyTorch model training and layer saturation monitor

cockpit - Cockpit: A Practical Debugging Tool for Training Deep Neural Networks

uncertainty-toolbox - Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

pytea - PyTea: PyTorch Tensor shape error analyzer

captum - Model interpretability and understanding for PyTorch

cleverhans - An adversarial example library for constructing attacks, building defenses, and benchmarking both