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I may be slow to respond.
70 followers · 23 following

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Highlights

  • Pro

Organizations

@NJU-SE-15-share-review @Rubik-s-Cube @nju-lug

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HermitSun/README.md

Welcome!

Visitors before you came here.

Brief Introduction

  • Master of Software Engineering, 2021-2024

    School of Software, Tsinghua University, Beijing, China

  • Bachelor of Software Engineering, 2017-2021

    Software Institute, Nanjing University, Nanjing, China

  • Research Interests:

    • MLSys
    • Data Provenance

  • Skills:

    • Python
    • Golang
    • C++
    • Vue.js

Status

General

ReadMe Card

Recent Works

Python     34 mins         ██████████████████████░░░   88.22 %
TOML       3 mins          ██▒░░░░░░░░░░░░░░░░░░░░░░   09.76 %
Other      0 secs          ▒░░░░░░░░░░░░░░░░░░░░░░░░   01.81 %
Docker     0 secs          ░░░░░░░░░░░░░░░░░░░░░░░░░   00.12 %
Markdown   0 secs          ░░░░░░░░░░░░░░░░░░░░░░░░░   00.09 %

Pinned Loading

  1. scitix/sichek scitix/sichek Public

    Sichek is a tool for detecting and diagnosing node-level issues in AI environments, ensuring the reliability and high performance of GPU-intensive workloads. It proactively identifies hardware and …

    Go 15 3

  2. vllm-project/vllm vllm-project/vllm Public

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

    Python 67.2k 12.5k

  3. sgl-project/sglang sgl-project/sglang Public

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

    Python 22.2k 4k

  4. PaddlePaddle/Paddle PaddlePaddle/Paddle Public

    PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

    C++ 23.6k 5.9k

  5. Rubik-s-Cube/oasis Rubik-s-Cube/oasis Public

    OASIS: Online grAph System for acdemIcS

    4