delve
AIX360
delve | AIX360 | |
---|---|---|
1 | 2 | |
77 | 1,533 | |
- | 2.0% | |
4.0 | 8.2 | |
about 1 year ago | about 2 months ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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delve
AIX360
- [D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process?
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[R] Explaining the Explainable AI: A 2-Stage Approach - Link to a free online lecture by the author in comments
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques https://arxiv.org/abs/1909.03012 https://github.com/Trusted-AI/AIX360
What are some alternatives?
cleverhans - An adversarial example library for constructing attacks, building defenses, and benchmarking both
AIF360 - A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
only_train_once - OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
explainable-cnn - 📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
pytea - PyTea: PyTorch Tensor shape error analyzer
explainerdashboard - Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
DiCE - Generate Diverse Counterfactual Explanations for any machine learning model.
TorchDrift - Drift Detection for your PyTorch Models
awesome-shapley-value - Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
backpack - BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.