YounghunGo

YounghunGo's Stars

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  29k1.6k

• HPMLL/BurstGPT

  A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems

  Language:Python1147

• pytorch/torchtitan

  A native PyTorch Library for large model training

  Language:Python2.3k165

• open-mmlab/mmpretrain

  OpenMMLab Pre-training Toolbox and Benchmark

  Language:Python3.4k1.1k

• Mutinifni/splitwise-sim

  LLM serving cluster simulator

  Language:Jupyter Notebook664

• XueFuzhao/awesome-mixture-of-experts

  A collection of AWESOME things about mixture-of-experts

  93370

• ceres-solver/ceres-solver

  A large scale non-linear optimization library

  Language:C++3.8k1k

• gajagajago/deepshare

  Network Contention-Aware Cluster Scheduling with Reinforcement Learning (IEEE ICPADS 2023)

  Language:C141

• ModelTC/awesome-lm-system

  Summary of system papers/frameworks/codes/tools on training or serving large model

  565

• turboderp/exllamav2

  A fast inference library for running LLMs locally on modern consumer-class GPUs

  Language:Python3.5k271

• alpa-projects/alpa

  Training and serving large-scale neural networks with auto parallelization.

  Language:Python3.1k353

• aime-labs/llama-chat

  Inference code for LLaMA models with chat extension

  Language:Python4

• HuaizhengZhang/AI-System-School

  🚀 AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. 🗃️ Llama3, Mistral, etc. 🧑‍💻 Video Tutorials.

  2.7k305

• MinghuiChen43/awesome-trustworthy-deep-learning

  A curated list of trustworthy deep learning papers. Daily updating...

  34034

• MinghuiChen43/awesome-deep-phenomena

  A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...

  2438

• noise-lab/research-course

  "How to Do Great Research" Course for Ph.D. Students

  Language:TeX10510

• NVIDIA/gdrcopy

  A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology

  Language:C++864143

• yeonhooy/Meteor_Control_Channel_Isolation_SDN_Virtualization

  Control Channel Isolation in SDN Virutalization using LSTM Autoencoder Time-series Prediction ML model

  Language:Java112

• juncongmoo/minichatgpt

  minichatgpt - To Train ChatGPT In 5 Minutes

  Language:Python16723

• matthewygf/GPUSchedule

  A GPU Cluster Simulator for Distributed Deep Learning Training.

  Language:Jupyter Notebook92

• YounghunGo/Driple

  🚨 Prediction of the Resource Consumption of Distributed Deep Learning Systems

  1

• YounghunGo/V-Sight

  Accurate and Efficient Monitoring for Virtualized SDN in Clouds

  1

• YounghunGo/ICV

  1

• YounghunGo/Libera

  Programmable network virtualization for cloud datacenters

  1

• YounghunGo/OpenVirteX

  The OpenVirteX Virtualization Platform

  1

• YounghunGo/NeCon_k8s

  1

• YounghunGo/HF_custom

  1

• KUoslab/HF_custom

  Language:Pug2121

• YounghunGo/Stella-OpenStack

  This page is Stella-OpenStack page

  1

• YounghunGo/Stella_new

  Stella integrated scheduler is a scheduling architecture for providing required performance to virtual machines running concurrently on a virtualized server. The integrated scheduler includes different types of resource scheduler in a physical server, CPU, block and Network I/O, to support diverse workload running on virtual machines with different characteristics (CPU-intensive or I/O-intensive).

  1