AIX360
TorchDrift
| AIX360 | TorchDrift | |
|---|---|---|
| 2 | 1 | |
| 1,533 | 302 | |
| 2.0% | 0.0% | |
| 8.2 | 0.0 | |
| 2 months ago | over 1 year ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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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.
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
TorchDrift
What are some alternatives?
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.
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.
explainable-cnn - 📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
cockpit - Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
cleverhans - An adversarial example library for constructing attacks, building defenses, and benchmarking both
uncertainty-toolbox - Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
DiCE - Generate Diverse Counterfactual Explanations for any machine learning model.
loss-landscape - Code for visualizing the loss landscape of neural nets
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.
WeightWatcher - The WeightWatcher tool for predicting the accuracy of Deep Neural Networks