ch-wan/awesome-gnn-systems
A list of awesome GNN systems.
Repositories
ch-wan/lm-sys.github.io
ch-wan/gpustat
📊 A simple command-line utility for querying and monitoring GPU status
ch-wan/srt-slurm
NVIDIA Inference Benchmarks provide recipes in ready-to-use templates for evaluating platform speed. Validate your platform across specific AI use cases across hardware and software combinations.
ch-wan/dynamo
A Datacenter Scale Distributed Inference Serving Framework
ch-wan/InferenceX
Open Source Continuous Inference Benchmarking Qwen3.5, DeepSeek, GPTOSS - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72 vs H100 & soon™ TPUv6e/v7/Trainium2/3
ch-wan/sgl-cookbook
Cookbook of SGLang - Recipe
ch-wan/DeepEP
DeepEP: an efficient expert-parallel communication library
ch-wan/sglang
SGLang is a fast serving framework for large language models and vision language models.
ch-wan/flashinfer
FlashInfer: Kernel Library for LLM Serving
ch-wan/Megatron-LM
Ongoing research training transformer models at scale
ch-wan/pc-meeting-zoom-conflicts
ch-wan/veScale
A PyTorch Native LLM Training Framework
ch-wan/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ch-wan/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ch-wan/cogdl
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
ch-wan/marius
Large scale graph learning on a single machine.
ch-wan/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
ch-wan/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
ch-wan/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
ch-wan/ViT-pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)