Skip to content
View zwhe99's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report zwhe99

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
zwhe99/README.md

Hi there 👋

  • This is Zhiwei He from SJTU.
  • 📬 Connect with me:
  • 🏠 Homepage: zwhe99.github.io
From: 26 September 2025 - To: 26 September 2026

Total Time: 20 hrs 52 mins

Python               10 hrs 31 mins        ████████████░░░░░░░░░░░░░   47.94 %
YAML                 2 hrs 19 mins         ██▓░░░░░░░░░░░░░░░░░░░░░░   10.56 %
Markdown             2 hrs 3 mins          ██▒░░░░░░░░░░░░░░░░░░░░░░   09.37 %
Bash                 1 hr 21 mins          █▓░░░░░░░░░░░░░░░░░░░░░░░   06.18 %
Other                1 hr 4 mins           █▒░░░░░░░░░░░░░░░░░░░░░░░   04.92 %
github contribution grid snake animation

Pinned Loading

  1. DeepMath DeepMath Public

    A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning

    Python 301 17

  2. Lordog/dive-into-llms Lordog/dive-into-llms Public

    《动手学大模型Dive into LLMs》系列编程实践教程

    Jupyter Notebook 55.4k 6.6k

  3. Skytliang/Multi-Agents-Debate Skytliang/Multi-Agents-Debate Public

    MAD: The first work to explore Multi-Agent Debate with Large Language Models :D

    Python 613 66

  4. THU-BPM/MarkLLM THU-BPM/MarkLLM Public

    [EMNLP 2024 Demo] MarkLLM: An Open-Source Toolkit for LLM Watermarking

    Python 1.1k 95

  5. verl-project/verl verl-project/verl Public

    verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework

    Python 23.7k 4.7k

  6. MAPS-mt MAPS-mt Public

    [TACL 2024] MAPS enables LLMs🤖 to mimic the human😁 translation process.

    Python 146 7