pytea VS AIX360

What are some alternatives?

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

AIF360 - A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

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

explainable-cnn - 📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.

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

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

DiCE - Generate Diverse Counterfactual Explanations for any machine learning model.

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

awesome-shapley-value - Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

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.

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