cockpit VS yellowbrick

Compare cockpit vs yellowbrick and see what are their differences.

cockpit

Cockpit: A Practical Debugging Tool for Training Deep Neural Networks (by f-dangel)

yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection. (by DistrictDataLabs)
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cockpit yellowbrick
3 2
468 4,198
- 0.8%
0.0 2.8
almost 2 years ago 9 months ago
Python Python
MIT License Apache License 2.0
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.

cockpit

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

yellowbrick

Posts with mentions or reviews of yellowbrick. 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 cockpit and yellowbrick you can also consider the following projects:

TorchDrift - Drift Detection for your PyTorch Models

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

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

Anaconda - Anaconda turns your Sublime Text 3 in a full featured Python development IDE including autocompletion, code linting, IDE features, autopep8 formating, McCabe complexity checker Vagrant and Docker support for Sublime Text 3 using Jedi, PyFlakes, pep8, MyPy, PyLint, pep257 and McCabe that will never freeze your Sublime Text 3

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

itermplot - An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.

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

seaborn-image - High-level API for attractive and descriptive image visualization in Python

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

fpdf2 - Simple PDF generation for Python

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

scikit-survival - Survival analysis built on top of scikit-learn