TUM DI Lab - Graph Scaling Group (TUM-DI-Lab-Graph-Scaling)

TUM DI Lab - Graph Scaling Group

TUM-DI-Lab-Graph-Scaling

Organization data from Github https://github.com/TUM-DI-Lab-Graph-Scaling

Acceleration of Neural Network Training with Microsoft DeepSpeed

GitHub:@TUM-DI-Lab-Graph-Scaling

TUM DI Lab - Graph Scaling Group's repositories

baseline-evaluation

Baseline Evaluation for the project "Acceleration of Neural Network Training with Microsoft DeepSpeed"

Language:PythonStargazers:0Issues:1Issues:0

evaluation

Evaluation data, analysis & visualizations for our project Acceleration of Neural Network Training with Microsoft DeepSpeed at TUM Data Innovation Lab 2022.

Language:Jupyter NotebookStargazers:0Issues:1Issues:0

final-presentation

Final presentation slides for our project "Acceleration of Neural Network Training with Microsoft DeepSpeed" at TUM Data Innovation Lab 2022.

Language:TeXStargazers:0Issues:2Issues:0

final-report

Final documentation of our project "Acceleration of Neural Network Training with Microsoft DeepSpeed" at TUM Data Innovation Lab 2022.

Language:TeXStargazers:0Issues:3Issues:0

ocp

https://opencatalystproject.org/

Language:PythonLicense:MITStargazers:0Issues:2Issues:3

pytorch_geometric

Graph Neural Network Library for PyTorch

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

torch-quiver

PyTorch Library for Fast and Easy Distributed Graph Learning

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0