explainerdashboard VS vivit

Compare explainerdashboard vs vivit and see what are their differences.

vivit

[TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivatives & Newton steps (by f-dangel)
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explainerdashboard vivit
2 1
2,172 17
- -
8.0 0.0
10 days ago 8 months 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.

vivit

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

What are some alternatives?

When comparing explainerdashboard and vivit 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.

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

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

pytea - PyTea: PyTorch Tensor shape error analyzer

TorchDrift - Drift Detection for your PyTorch Models

delve - PyTorch model training and layer saturation monitor

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

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

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