uncertainty-toolbox VS TorchDrift

What are some alternatives?

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

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.

pytea - PyTea: PyTorch Tensor shape error analyzer

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

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.

loss-landscape - Code for visualizing the loss landscape of neural nets

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

uq-vae - Solving Bayesian Inverse Problems via Variational Autoencoders

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

ipme - An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".

explainerdashboard - Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.