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  • 👋 Hi, I’m Jonathan, shortly, Joe
  • 👨🏽‍🎓 Received DPhil in Electrical Engineering with College of Electrical Engineering and Computer Science (EECS), Taiwan Tech (NTUST), Taipei City.
  • 👨🏽‍💻 Now, doing a independent postdoctoral fellow with Intelligent Systems and Control laboratory.
  • 🌱 Interests studying related to deep transfer learning, deep model compression, edge computing, artificial intelligence of things (AIoT), consumer technology, and industry applications.
  • 💞️ looking to collaborate on who is interesting in the similar study area or any further beneficial study.
  • 📫 Reachinh me straight thru 1st: [email protected], 2nd: [email protected].

Jirayu Petchhan's Projects

adversarial icon adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

blockchain-course-knowledge-repository icon blockchain-course-knowledge-repository

This repo is the part of course documents and project assigned in Blockchain course (109.2【工管系】IM6313701 區塊鏈理論與實務 Theory and Practice of Blockchain), Taiwan Tech.

btda icon btda

implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network

deep-unsupervised-domain-adaptation icon deep-unsupervised-domain-adaptation

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

digital-surveillance-system icon digital-surveillance-system

This repo is the part of exercise in 109.1【機械系】ME5617701 數位監控系統與應用 Digital Surveillance Systems and Application, Taiwan Tech.

kd_lib icon kd_lib

A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

pcs-fuda icon pcs-fuda

Official implementation of PCS in essay "Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation"

pjirayu icon pjirayu

Config files for my GitHub profile.

powermeter icon powermeter

IIoT class : hands-om #1 (WeMos with Blynk platform)

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-meta icon pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

pytorch_dan icon pytorch_dan

An implementation of Deep Adaptation Network with pytorch

resnext-densenet icon resnext-densenet

PyTorch Implementation for ResNet, Pre-Activation ResNet, ResNeXt and DenseNet

simpletransformers icon simpletransformers

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

stos icon stos

Official implementation of STOS in an original article "High-intensified resemblance & Statistic-Restructured Alignment in Few-Shot DA for Industrial-Specialized Employment"

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