cleverhans
explainerdashboard
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cleverhans | explainerdashboard | |
---|---|---|
3 | 2 | |
6,008 | 2,221 | |
0.0% | - | |
0.0 | 8.0 | |
about 1 year ago | 13 days 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
- [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?
explainerdashboard
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.
advertorch - A Toolbox for Adversarial Robustness Research
aws-security-workshops - A collection of the latest AWS Security workshops
AIX360 - Interpretability and explainability of data and machine learning models
Transformer-MM-Explainability - [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
uncertainty-toolbox - Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
backpack - BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
pytea - PyTea: PyTorch Tensor shape error analyzer
TorchDrift - Drift Detection for your PyTorch Models
delve - PyTorch model training and layer saturation monitor
captum - Model interpretability and understanding for PyTorch