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Hi ๐Ÿ‘‹, I'm Sylvain-wei

๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป ย About Me

  • ๐Ÿ™‹โ€โ™‚๏ธ ย My name is Shaohang Wei, ้ญๅฐ‘ๆญ-๐Ÿ‡จ๐Ÿ‡ณ, Sylvain-๐Ÿ‡ซ๐Ÿ‡ท.
  • ๐Ÿ‘จโ€๐ŸŽ“ ย Beihang University(BUAA)
  • ๐ŸŒ† ย Beijing, China
  • ๐Ÿ”Ž ย Natural Language Processing (and related fields).

๐Ÿค๐Ÿป ย Contact Me

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

๐Ÿ“งEmail: [email protected]

๐Ÿ“ˆ ย Statistics 

Python   2 hrs 15 mins   โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–“   98.71 %
Text     0 secs          โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   00.59 %
JSON     0 secs          โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   00.42 %
Other    0 secs          โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   00.24 %
XML      0 secs          โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   00.04 %

โญ ย Repositories I'm Following

๐Ÿ“‘NLP & LLM:

๐Ÿ“‘ML Theory:

Shaohang Wei's Projects

ai-research-tools icon ai-research-tools

:hammer:AI ๆ–นๅ‘ๅฅฝ็”จ็š„็ง‘็ ”ๅทฅๅ…ท

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

๐Ÿง‘โ€๐Ÿซ 60 Implementations/tutorials of deep learning papers with side-by-side notes ๐Ÿ“; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ŸŽฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐Ÿง 

beijing_daxuexi_simple icon beijing_daxuexi_simple

ๅŒ—ไบฌ ้’ๅนดๅคงๅญฆไน  ไฝฟ็”จGithub Actions่‡ชๅŠจๅฎŒๆˆ

botanypedia icon botanypedia

ไธ€ไธชไบ่ดผ็š„็ญ‰ๅพ…ๆ•‘ๆด็š„ๅฐ็ป„

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)

king-of-pigeon icon king-of-pigeon

่ฎก็ฎ—ๆœบไฟ็ ”็ฎ€ๅŽ†ไธŽๆ–‡ไนฆๅฎž็”จๆจกๆฟ

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

่‡ช็„ถ่ฏญ่จ€ๅค„็†้ข†ๅŸŸไธ‹็š„็›ธๅ…ณ่ฎบๆ–‡๏ผˆ้™„้˜…่ฏป็ฌ”่ฎฐ๏ผ‰๏ผŒๅค็Žฐๆจกๅž‹ไปฅๅŠๆ•ฐๆฎๅค„็†็ญ‰๏ผˆไปฃ็ ๅซTensorFlowๅ’ŒPyTorchไธค็‰ˆๆœฌ๏ผ‰

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 handbookๆ˜ฏไธ€ๆœฌๅผ€ๆบ็š„ไนฆ็ฑ๏ผŒ็›ฎๆ ‡ๆ˜ฏๅธฎๅŠฉ้‚ฃไบ›ๅธŒๆœ›ๅ’Œไฝฟ็”จPyTorch่ฟ›่กŒๆทฑๅบฆๅญฆไน ๅผ€ๅ‘ๅ’Œ็ ”็ฉถ็š„ๆœ‹ๅ‹ๅฟซ้€Ÿๅ…ฅ้—จ๏ผŒๅ…ถไธญๅŒ…ๅซ็š„Pytorchๆ•™็จ‹ๅ…จ้ƒจ้€š่ฟ‡ๆต‹่ฏ•ไฟ่ฏๅฏไปฅๆˆๅŠŸ่ฟ่กŒ

retrieval_head icon retrieval_head

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

transformers icon transformers

๐Ÿค— Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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