explainerdashboard VS backpack

Compare explainerdashboard vs backpack and see what are their differences.

backpack

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient. (by f-dangel)
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explainerdashboard backpack
2 2
2,172 534
- -
8.0 2.8
10 days ago 22 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

explainerdashboard

Posts with mentions or reviews of explainerdashboard. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-28.

backpack

Posts with mentions or reviews of backpack. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-28.

What are some alternatives?

When comparing explainerdashboard and backpack you can also consider the following projects:

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.

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

SGD-OGR-Hessian-estimator - SGD (stochastic gradient descent) with OGR - online gradient regression Hessian estimator

TorchDrift - Drift Detection for your PyTorch Models

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

pnotify - Beautiful JavaScript notifications with Web Notifications support.

AIX360 - Interpretability and explainability of data and machine learning models

pytea - PyTea: PyTorch Tensor shape error analyzer

delve - PyTorch model training and layer saturation monitor