chwan1016

Georgia Tech

Pinned Repositories

awesome-gnn-systems
A list of awesome GNN systems.
Language:Python301 6 127
cogdl
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Language:Python0 0 00
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Language:Python1 0 00
gpustat
📊 A simple command-line utility for querying and monitoring GPU status
Language:Python0 0 00
marius
Large scale graph learning on a single machine.
Language:C++0 0 00
PipeGCN
[ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin
Language:Python0 0 00
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Language:Python00
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
Language:Python0 0 00
BNS-GCN
[MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling" by Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin
Language:Python55 3 711
PipeGCN
[ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin
Language:Python31 2 17

chwan1016/awesome-gnn-systems
A list of awesome GNN systems.
Language:Python301 6 127
chwan1016/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Language:Python1 0 00
chwan1016/cogdl
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Language:Python0 0 00
chwan1016/gpustat
📊 A simple command-line utility for querying and monitoring GPU status
Language:Python0 0 00
chwan1016/marius
Large scale graph learning on a single machine.
Language:C++0 0 00
chwan1016/PipeGCN
[ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin
Language:Python0 0 00
chwan1016/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Language:Python00
chwan1016/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
Language:Python0 0 00
chwan1016/ViT-pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
Language:Jupyter Notebook0 0 00
chwan1016/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
chwan1016/veScale
A PyTorch Native LLM Training Framework
Language:Python