GitHub topics: pytorch-tensors
Kuenoz/pytorch_training_optimization_using_tensordict_memory_mapping
Optimizing PyTorch Model Training by Wrapping Memory Mapped Tensors on an Nvidia GPU with TensorDict.
Language: Python - Size: 11.8 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

OriYarden/pytorch_training_optimization_using_tensordict_memory_mapping
Optimizing PyTorch Model Training by Wrapping Memory Mapped Tensors on Nvidia GPUs with TensorDict.
Language: Python - Size: 11.9 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 1 - Forks: 0

mahnoorsheikh16/Node-Classification-with-Graph-Neural-Networks
Evaluation of multiple graph neural network models—GCN, GAT, GraphSAGE, MPNN and DGI—for node classification on graph-structured data. Preprocessing includes feature normalization and adjacency-matrix regularization, and an ensemble of model predictions boosts performance. The best ensemble achieves 83.47% test accuracy.
Language: Jupyter Notebook - Size: 286 KB - Last synced at: 7 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0

Santosh-Gupta/SpeedTorch
Library for faster pinned CPU <-> GPU transfer in Pytorch
Language: Python - Size: 212 KB - Last synced at: 16 days ago - Pushed at: over 5 years ago - Stars: 685 - Forks: 39

abyildirim/pytorch-tutorials
PyTorch tutorial notebooks for beginners.
Language: Jupyter Notebook - Size: 579 KB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 3

NajiAboo/pytorch-tutorials
PyTorch is a popular open-source machine learning library that provides tools for building and training neural networks. One of the key features of PyTorch is its ability to automatically compute gradients for tensor operations, which is essential for efficient training of neural networks.
Language: Jupyter Notebook - Size: 5.86 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
