loss-landscape VS yellowbrick

Compare loss-landscape vs yellowbrick and see what are their differences.

loss-landscape

Code for visualizing the loss landscape of neural nets (by tomgoldstein)

yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection. (by DistrictDataLabs)
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loss-landscape yellowbrick
2 2
2,642 4,198
- 0.8%
0.0 2.8
about 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.

loss-landscape

Posts with mentions or reviews of loss-landscape. 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 loss-landscape 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

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.

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

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

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

shapash - 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

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

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

fpdf2 - Simple PDF generation for Python

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

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