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About Me

🧑‍💻 Hi! I'm Patric Yan!

  • I’m currently learning in ML, DL, NLP. For example dataset-artifacts and SuperTuxKart ice-hockey player projects.
  • familiar with big-data ecosystem, Data-Development-Platform
  • developer of open-source blockchain Seele
  • contributor to open source projects, such as Unify-AI IVY,
  • experience in XV6

📫 How to reach me: [email protected]

GitHub Stats :



patricyan's Projects

aes-crypto icon aes-crypto

AES CBC and ECB. A simple go structure is used to encrypt and decrypt strings in aes encoding mode

alaff icon alaff

Advanced Linear Algebra: Foundations to Frontiers (ALAFF) assignments repository

atomicswap icon atomicswap

Decred: On-chain atomic swaps for Viacoin, Litecoin and other cryptocurrencies.

auto.js icon auto.js

A UiAutomator on android, does not need root access(安卓平台上的JavaScript自动化工具)

awesome-programming-books icon awesome-programming-books

经典编程书籍大全,涵盖:计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

blis icon blis

BLAS-like Library Instantiation Software Framework

books icon books

Books about Machine Learning, Algorithms, Applications

cartography icon cartography

Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

cat_vs_dog icon cat_vs_dog

A simple network trained for cat vs dog classification. This should serve as an illustrative example on how to tune your deep network.

centertrack icon centertrack

Simultaneous object detection and tracking using center points.

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

datasets icon datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

facenet-pytorch icon facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models

fasttext icon fasttext

Library for fast text representation and classification.

fp-dataset-artifacts icon fp-dataset-artifacts

Final project starter code for NLP classes at UT Austin: provides a HuggingFace trainer to enable studying of dataset artifacts.

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