Skip to content
View Weili-0234's full-sized avatar
48 followers · 90 following

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Pair Extraordinaire

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Pair Extraordinaire

Block or report Weili-0234

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Weili-0234/README.md
  • 👋 Hi, this is Weili!
  • 🔥 I’m interested in Machine Learning Systems
  • 💻 I’m currently a senior undergrad in computer engineering at UIUC
  • 🙋‍♂️ Pronouns: He/Him
  • ⌨️ I have some experience in CUDA C/C++, Python (Triton, CuTeDSL) and RISC-V assembly.
  • 🤗 Feel free to check out my academic homepage!

Pinned Loading

  1. ThunderAgent-org/ThunderAgent ThunderAgent-org/ThunderAgent Public

    A simple, fast and robust program-aware agentic inference system.

    Python 442 42

  2. NVIDIA/TileGym NVIDIA/TileGym Public

    Helpful kernel tutorials, examples and SKILLs for tile-based GPU programming

    Python 808 85

  3. fla-org/flash-linear-attention fla-org/flash-linear-attention Public

    🚀 Efficient implementations for emerging model architectures

    Python 5.7k 704

  4. InternLM/xtuner InternLM/xtuner Public

    A Next-Generation Training Engine Built for Ultra-Large MoE Models

    Python 5.2k 448

  5. claude-plugins claude-plugins Public

    Personal Claude Code plugin marketplace (mlsys-code-walkthrough: ML-systems code walk-through tutorial skill)

    Python

  6. wenhaochai/aurora wenhaochai/aurora Public

    [ICLR 2025] AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

    Python 149 6