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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.

rui-sz's Projects

abtest icon abtest

ABTest is a complicated topic, which deserves a single project to elaborate it systematically.

adrepository-anomaly-detection-datasets icon adrepository-anomaly-detection-datasets

ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.

albef icon albef

Code for ALBEF: a new vision-language pre-training method

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

chatglm-finetuning icon chatglm-finetuning

基于ChatGLM-6B模型,进行下游具体任务微调,涉及Freeze、Lora、P-tuning等

db-gpt icon db-gpt

Interact your data and environment using the local GPT, no data leaks, 100% privately, 100% security

detr icon detr

End-to-End Object Detection with Transformers

fastgcn icon fastgcn

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

graphsage icon graphsage

Representation learning on large graphs using stochastic graph convolutions.

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

langchain-chatglm icon langchain-chatglm

langchain-ChatGLM, local knowledge based ChatGLM with langchain | 基于本地知识库的 ChatGLM 问答

neuraltalk icon neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

pygcn icon pygcn

Graph Convolutional Networks in PyTorch

rnnlib icon rnnlib

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

text_gcn icon text_gcn

Graph Convolutional Networks for Text Classification. AAAI 2019

transformer_tf2 icon transformer_tf2

基于TF2实现的 transformer translator, github 上没找到,就写一个吧

transformers icon transformers

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

vilt icon vilt

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

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