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Hi 👋, I'm Shaohang Wei

👨🏻‍💻  About Me

  • 🙋‍♂️  My name is Shaohang Wei, 魏少杭-🇨🇳, Sylvain-🇫🇷.
  • 👨‍🎓  Peking University(Ph.D. Student), Beihang University(B.S., Previously)
  • 🌆  Beijing, China
  • 🔎  Natural Language Processing (and related fields).

🤝🏻  Contact Me

✨ If you are interested in any aspect of me, please feel free to reach out to me!

📧Email: [email protected], [email protected]

📈  Statistics

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⭐  Repositories I'm Following

📑NLP & LLM:

📑ML Theory:

Shaohang Wei's Projects

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

computer-vision-2023fall icon computer-vision-2023fall

Projects for Computer Vision 2023Fall, offered by Institute of Artificial Intelligence, Beihang University

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

learnpyg icon learnpyg

This repository is specially for learning PyG, which contains some code/ .md and so on. Record it and daydayup!

llmsurveysummary icon llmsurveysummary

A collection of survey papers and resources related to Large Language Models (LLMs).

mquake icon mquake

[EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions

natural-language-processing-2022fall icon natural-language-processing-2022fall

This repository is about the course projects on Natural Language Processing, 2022 Fall, which is provided by the Institute of Artificial Intelligence, Beihang University.

nlp-paper icon nlp-paper

自然语言处理领域下的相关论文(附阅读笔记),复现模型以及数据处理等(代码含TensorFlow和PyTorch两版本)

old_sylvain-wei.github.io icon old_sylvain-wei.github.io

Here is the personal website of Shaohang Wei. Powered by Jekyll, based on the Minimal Mistakes theme and Jason Ansel's website

pytorch-handbook icon pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

retrieval_head icon retrieval_head

open-source code for paper: Retrieval Head Mechanistically Explains Long-Context Factuality

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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