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Displaying 8 results

PyG
NVIDIA
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data.
Container
PyG PB October 2024 (PB 24h2)
NVIDIA
PyG Production Branch October 2024 (PB 24h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
Container
ALCHEMI Batched Molecular Dynamics
NVIDIA
Atomistic Molecular Dynamics NIM with machine learning interatomic potentials.
Container
ALCHEMI Batched Geometry Relaxation NIM
NVIDIA
Atomistic Geometry Optimization/Relaxation NIM with machine learning interatomic potentials.
Container
NVIDIA PhysicsNeMo Sym Examples Supplemental Materials
NVIDIA
This contains all the supplemental data for PhysicsNeMo Sym examples. This includes validation data, training data, large CSV/STLs, etc. For the python scripts, please refer https://github.com/nvidia/physicsnemo-sym
Resource
PhysicsNeMo Datasets: Stokes Flow
NVIDIA
Stokes flow dataset with parameterized domain
Resource
NVIDIA PhysicsNeMo Examples Supplemental Materials
NVIDIA
This contains all the supplemental data for PhysicsNeMo examples. This includes files apart from the actual dataset required for training. For the python scripts, please refer https://github.com/nvidia/physicsnemo
Resource
Deep Learning Frameworks
NVIDIA
This collection contains performance-optimized Deep Learning frameworks.
Collection
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