explainerdashboard VS pytea

What are some alternatives?

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.

examples - A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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.

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

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

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

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.

vivit - [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivatives & Newton steps

delve - PyTorch model training and layer saturation monitor