Hao Wang's starred repositories
AzurePublicDataset
Microsoft Azure Traces
FederatedGPT-Shepherd
Shepherd: A foundational framework enabling federated instruction tuning for large language models
OS-Course-Lab
本仓库包含上海交通大学IPADS实验室设计的操作系统课程系列实验。每个实验放在独立分支。
DeltaPapers
Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.
GPU-Benchmarks-on-LLM-Inference
Multiple NVIDIA GPUs or Apple Silicon for Large Language Model Inference?
zotero-reference
PDF references add-on for Zotero.
face_recognition
The world's simplest facial recognition api for Python and the command line
gradient_descent_viz
interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI
Orion-OSDI22
Serverless optimizations
FLsystem-paper
Federated Learning Systems Paper List
papers-notebook
:page_facing_up: :cn: :page_with_curl: 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)
scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
aws-lambda-power-tuning
AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Functions - and it supports three optimization strategies: cost, speed, and balanced.
color-trace
将位图转为彩色矢量 svg 图片