Neural network potentials based on graph neural networks and equivariant transformer
The random vector functional link (RVFL) network is suitable for solving nonlinear problems from tra...
Patch release to add a disclaimer about torch models hosted on the Hub. See autoclass tutorial.If yo...
SIGLEAvailable from British Library Document Supply Centre-DSC:D210157 / BLDSC - British Library Doc...
Neural network potentials based on graph neural networks and equivariant transformer
Tutorials and data necessary to reproduce the results of publication Machine Learning Coarse-Grained...
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN024588 / BLDSC - British Library D...
This package contains a set of tools to train and test classification neural networks. The structur...
In the paper the scientific substantiation of diagnostic method for the electromagnetic normal-actin...
Main code and modules of a transformer neural network for environmental time series forecasting, inc...
SIGLEAvailable from British Library Document Supply Centre- DSC:9106.17(CUED/F-INFENG/TR--95) / BLDS...
We introduce torchNTK, a python library to calculate the empirical neural tangent kernel (NTK) of ne...
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN038874 / BLDSC - British Library D...
We introduce gvnn, a neural network library in Torch aimed towards bridging the gap between classic ...
Equivariant Graph neural Networks (EGNs) are powerful in characterizing the dynamics of multi-body p...
Neural provides machine-learning tools to accelerate and extend atomistic calculations. In version 0...
The random vector functional link (RVFL) network is suitable for solving nonlinear problems from tra...
Patch release to add a disclaimer about torch models hosted on the Hub. See autoclass tutorial.If yo...
SIGLEAvailable from British Library Document Supply Centre-DSC:D210157 / BLDSC - British Library Doc...
Neural network potentials based on graph neural networks and equivariant transformer
Tutorials and data necessary to reproduce the results of publication Machine Learning Coarse-Grained...
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN024588 / BLDSC - British Library D...
This package contains a set of tools to train and test classification neural networks. The structur...
In the paper the scientific substantiation of diagnostic method for the electromagnetic normal-actin...
Main code and modules of a transformer neural network for environmental time series forecasting, inc...
SIGLEAvailable from British Library Document Supply Centre- DSC:9106.17(CUED/F-INFENG/TR--95) / BLDS...
We introduce torchNTK, a python library to calculate the empirical neural tangent kernel (NTK) of ne...
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN038874 / BLDSC - British Library D...
We introduce gvnn, a neural network library in Torch aimed towards bridging the gap between classic ...
Equivariant Graph neural Networks (EGNs) are powerful in characterizing the dynamics of multi-body p...
Neural provides machine-learning tools to accelerate and extend atomistic calculations. In version 0...
The random vector functional link (RVFL) network is suitable for solving nonlinear problems from tra...
Patch release to add a disclaimer about torch models hosted on the Hub. See autoclass tutorial.If yo...
SIGLEAvailable from British Library Document Supply Centre-DSC:D210157 / BLDSC - British Library Doc...
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