uncertainty-toolbox
yellowbrick
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uncertainty-toolbox | yellowbrick | |
---|---|---|
1 | 2 | |
1,711 | 4,198 | |
3.1% | 0.7% | |
10.0 | 2.8 | |
over 1 year ago | 9 months ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
uncertainty-toolbox
yellowbrick
- [D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process?
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Any interesting open projects to join? Or anyone want with some good ideas want to start one?
I have contributed to Yellowbrick in the past. https://github.com/DistrictDataLabs/yellowbrick/
What are some alternatives?
cleverhans - An adversarial example library for constructing attacks, building defenses, and benchmarking both
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
TorchDrift - Drift Detection for your PyTorch Models
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
pytea - PyTea: PyTorch Tensor shape error analyzer
itermplot - An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.
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.
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
uq-vae - Solving Bayesian Inverse Problems via Variational Autoencoders
scikit-survival - Survival analysis built on top of scikit-learn