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RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/

License: GNU General Public License v3.0

Shell 2.26% C++ 4.15% Python 0.11% Perl 0.04% C 71.45% Fortran 7.16% Scilab 0.01% LiveScript 0.40% CSS 0.04% TeX 0.80% Makefile 6.35% HTML 3.48% CMake 2.05% PLSQL 0.84% DIGITAL Command Language 0.34% Yacc 0.06% Lex 0.02% M4 0.45%

rnnlib's Introduction

Rui's intro

About myself

💻 Working in TikTok as an algo engineer since 2018. Worked in Tencent/Baidu for 6+Y in Algo/Data before.

🎓 Graduated from HUST@Wuhan and Peking University@SZ

🏠 Now I base in Singapore, and will travel to CN cities now and then

📧 [email protected] ☎️ +6591578082

Technical area I'm interested

I am passionate in kinds of domain in algo/big data. On the whole, I am interested and have been diving into related topics for years, after graduated from HUST software eng. Some Areas I'm foucsing on:

  • 🚀 Search Engine/Recommendation
  • 📚 DLs, like GNN/GCN/Pagerank, LLM/CV/Multimodal
  • 🚔 Anti-fraud/Anomaly detection/Risk Ctrl
  • 📊 Big data, analystics and visualization of big scale data

Recently following

Currently, I'm following up the latest progress of LLM/CV/Multimodel, and I think multimodal area is more attractive to me. Will write some sommary later.

rnnlib's People

Contributors

bquast avatar

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