cleverhans
uncertainty-toolbox
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| cleverhans | uncertainty-toolbox | |
|---|---|---|
| 3 | 1 | |
| 6,008 | 1,711 | |
| 0.0% | 3.1% | |
| 0.0 | 10.0 | |
| about 1 year ago | over 1 year ago | |
| Jupyter Notebook | 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.
cleverhans
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Clever Hans (Intelligence Misatributon)
I only knew of this story from looking up the name of this library on adversarial DL https://github.com/cleverhans-lab/cleverhans
- [D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process?
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[D] Does anyone care about adversarial attacks anymore?
I feel as though this area has not received much attention over the last couple of years. The CleverHans project has gone stale and I haven't heard of many new results recently. Has the community lost interest in this area? Did we decide that adversarial attacks aren't such a problem in practical applications?
uncertainty-toolbox
What are some alternatives?
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.
pytea - PyTea: PyTorch Tensor shape error analyzer
advertorch - A Toolbox for Adversarial Robustness Research
TorchDrift - Drift Detection for your PyTorch Models
aws-security-workshops - A collection of the latest AWS Security workshops
AIX360 - Interpretability and explainability of data and machine learning models
backpack - BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
delve - PyTorch model training and layer saturation monitor
uq-vae - Solving Bayesian Inverse Problems via Variational Autoencoders
ipme - An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".