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An interference-aware scheduler for fine-grained GPU sharing
Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
Official repository for the paper DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines
[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
A Quasi-Wasserstein Loss for Learning Graph Neural Networks (QW loss)
FedScale is a scalable and extensible open-source federated learning (FL) platform.
A curated reading list of research in Mixture-of-Experts(MoE).
A curated reading list of research in Adaptive Computation, Inference-Time Computation & Mixture of Experts (MoE).
Custom Python Scheduler for Kubernetes
⏰ Collaboratively track worldwide conference deadlines (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
📄 🇨🇳 📃 论文阅读笔记（分布式系统、虚拟化、机器学习）Papers Notebook (Distributed System, Virtualization, Machine Learning)
Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
GPU-scheduler-for-deep-learning
GPU Sharing Scheduler for Kubernetes Cluster
The Prometheus monitoring system and time series database.
Cloud Kernel - an open-source Linux kernel originated by Alibaba Operating System Team
Curve is a sandbox project hosted by the CNCF Foundation. It's cloud-native, high-performance, and easy to operate. Curve is an open-source distributed storage system for block and shared file stor…