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172 servables found

Test SolarPV bandgap model

name: rjacobs3_wisc/solarpv_hsegap_GBR
Authors
Visibility Version Shim Model Type
public 0.8.3 sklearn.ScikitLearnServable GradientBoostingRegressor
materials science

Test SolarPV bandgap model

name: rjacobs3_wisc/solarpv_hsegap_GBR
Authors
Visibility Version Shim Model Type
public 0.8.3 sklearn.ScikitLearnServable GradientBoostingRegressor
materials science

Test SolarPV bandgap model

name: rjacobs3_wisc/solarpv_hsegap_GBR
Authors
Visibility Version Shim Model Type
public 0.8.3 sklearn.ScikitLearnServable GradientBoostingRegressor
materials science

Test SolarPV bandgap model

name: rjacobs3_wisc/solarpv_hsegap_GBR
Authors
Visibility Version Shim Model Type
public 0.8.3 sklearn.ScikitLearnServable GradientBoostingRegressor
materials science

Test SolarPV bandgap model

name: rjacobs3_wisc/solarpv_hsegap_GBR
Authors
Visibility Version Shim Model Type
public 0.8.3 sklearn.ScikitLearnServable GradientBoostingRegressor
materials science

Compute molecular representation from pre-trained MPNN

name: loganw_globusid/mpnn_features
Authors
Logan Ward
Visibility Version Shim
public 0.8.3 python.PythonStaticMethodServable
chemistry

A short title for the servable

name: loganw_globusid/mpnn_features
Authors
Logan Ward
Visibility Version Shim
public 0.8.3 python.PythonStaticMethodServable
chemists

A short title for the servable

name: loganw_globusid/mpnn_features
Authors
Logan Ward
Visibility Version Shim
public 0.8.3 python.PythonStaticMethodServable
chemists

A short title for the servable

name: loganw_globusid/mpnn_features
Authors
Logan Ward
Visibility Version Shim
public 0.8.3 python.PythonStaticMethodServable
chemists

Test SolarPV bandgap model

name: rjacobs3_wisc/solarpv_hsegap_GBR
Authors
Visibility Version Shim Model Type
public 0.8.3 sklearn.ScikitLearnServable GradientBoostingRegressor
materials science