AIX360 VS explainable-cnn

Compare AIX360 vs explainable-cnn and see what are their differences.

AIX360

Interpretability and explainability of data and machine learning models (by Trusted-AI)
explainable-ai explainable-ml trusted-ai trusted-ml Machine Learning Deep Learning codait Artificial intelligence explainabil xai ibm-research ibm-research-ai
Source Code
aix360.res.ibm.com
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explainable-cnn

📦 PyTorch based visualization package for generating layer-wise explanations for CNNs. (by ashutosh1919)
explainable-ai explainable-ml Cnn cnn-pytorch cnn-classification grad-cam grad-cam-visualization saliency-map saliency-detection Visualization cnn-visualization cnn-visualization-technique guided-backpropagation guided-grad-cam Pytorch pytorch-implementation
Source Code
pypi.org
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AIX360 explainable-cnn
2 1
1,533 212
2.0% -
8.2 5.3
2 months ago 8 months ago
Python Python
Apache License 2.0 MIT License
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AIX360

Posts with mentions or reviews of AIX360. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-28.

explainable-cnn

Posts with mentions or reviews of explainable-cnn. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing AIX360 and explainable-cnn you can also consider the following projects:

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.

pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

cleverhans - An adversarial example library for constructing attacks, building defenses, and benchmarking both

tf-keras-vis - Neural network visualization toolkit for tf.keras

DiCE - Generate Diverse Counterfactual Explanations for any machine learning model.

DALEX - moDel Agnostic Language for Exploration and eXplanation

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.

TorchDrift - Drift Detection for your PyTorch Models

pytea - PyTea: PyTorch Tensor shape error analyzer

shapash - 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

AIX360 vs AIF360 explainable-cnn vs pytorch-image-models AIX360 vs cleverhans explainable-cnn vs tf-keras-vis AIX360 vs DiCE explainable-cnn vs DALEX AIX360 vs awesome-shapley-value AIX360 vs backpack AIX360 vs DALEX AIX360 vs TorchDrift AIX360 vs pytea AIX360 vs shapash