SGLang is a high-performance serving framework for large language models and multimodal models.

A high-throughput and memory-efficient inference and serving engine for LLMs

Resource-adaptive cluster scheduler for deep learning training.

Auto parallelization for large-scale neural networks

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch extensions for high performance and large scale training.

Latex starters for creating a CMU thesis or thesis proposal

NSGA2, NSGA3, R-NSGA3, MOEAD, GA, DE,

Mesh TensorFlow: Model Parallelism Made Easier

Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)

Bot for hyperspace center.

Official robotgame.net server

SailingLab's Petuum project.