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Hi there! 👋

I'm Yuantao Yang, a graduated M.Sc in Computational Mathematics. based in Beijing, China!

  • 💻 I am currently working as a Algorithm Engineer at ZhipuAI, focusing on LLM evaluation.

  • 🔭 I have previously worked as a:

    • Machine Learning Engineer at Alibaba Cloud.
    • Recommendation Algorithm Engineer Intern in AntGroup a e-finance Group.
    • Student Research Intern at Najing Center of Applied Mathematics Nanjing.

  • 🤔 I’m really interested and passionated about AI, Cloud, Data Science and research, with some side projects and continously learning about Machine Learning and programming languages.

  • 💬 Please feel free to go through my github, I will post more of my work here.

  • 📫 You can reach me via email ([email protected]).

finger1517/

finger1517

Yuantao Yang(Ayuan)'s Projects

carpet icon carpet

Carpet: Neural Net based solver for the 1d-TV problem

chatgpt-retrieval-plugin icon chatgpt-retrieval-plugin

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

eht-imaging icon eht-imaging

Imaging, analysis, and simulation software for radio interferometry

fastmri icon fastmri

A large-scale dataset of both raw MRI measurements and clinical MRI images

fastmri-reproducible-benchmark icon fastmri-reproducible-benchmark

Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.

kaggle-titanic icon kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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