loss-landscape
vivit
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loss-landscape | vivit | |
---|---|---|
2 | 1 | |
2,642 | 17 | |
- | - | |
0.0 | 0.0 | |
about 2 years ago | 10 months ago | |
Python | Python | |
MIT License | MIT License |
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
- [D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process?
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[D] Visualizing loss surface in input space
Code for https://arxiv.org/abs/1712.09913 found: https://github.com/tomgoldstein/loss-landscape
vivit
What are some alternatives?
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cleverhans - An adversarial example library for constructing attacks, building defenses, and benchmarking both
backpack - BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
shapash - 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
WeightWatcher - The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
cockpit - Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
uncertainty-toolbox - Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization