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setup.py Merge branch 'master' into cuda-fix Mar 23, 2022 Repository files navigation README MIT license SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation with local explanations using the cl...
Nvidia's participation in fostering the ARM ecosystem have thus far consisted of enabling CUDA support on the platform. It's possible we could see increased collaboration between the two companies prior to the acquisition, and given Nvidia's existing licensing agreements with ARM, it wouldn't be...
For TreeExplainer you can read/cite our Nature Machine Intelligence paper (bibtex; free access). For force_plot visualizations and medical applications you can read/cite our Nature Biomedical Engineering paper (bibtex; free access).About A game theoretic approach to explain the output of any machi...
GPUs are one of the greatest power sources in High-Performance Computing (HPC). As one of the best GPU manufacturers and the leading one in providing HPC solutions for Deep Learning applications, NVIDIA has made a footprint, the CUDA framework, in the ML development space that many follow. ...
In the example below we have explained how the 7th intermediate layer of the VGG16 ImageNet model impacts the output probabilities. from keras.applications.vgg16 import VGG16 from keras.applications.vgg16 import preprocess_input import keras.backend as K import numpy as np import json import ...
In the example below we have explained how the 7th intermediate layer of the VGG16 ImageNet model impacts the output probabilities. from keras.applications.vgg16 import VGG16 from keras.applications.vgg16 import preprocess_input import keras.backend as K import numpy as np import json import ...
In the example below we have explained how the 7th intermediate layer of the VGG16 ImageNet model impacts the output probabilities. from keras.applications.vgg16 import VGG16 from keras.applications.vgg16 import preprocess_input import keras.backend as K import numpy as np import json import ...
Forforce_plotvisualizations and medical applications you can read/cite ourNature Biomedical Engineering paper(bibtex;free access). Packages No packages published Languages Jupyter Notebook98.0% Python1.7% C++0.2% JavaScript0.1% Cuda0.0% PowerShell0.0%...
fromkeras.applications.vgg16importVGG16fromkeras.applications.vgg16importpreprocess_inputimportkeras.backendasKimportnumpyasnpimportjsonimportshap# load pre-trained model and choose two images to explainmodel=VGG16(weights='imagenet',include_top=True)X,y=shap.datasets.imagenet50()to_explain=X[[39,41...