pjirayu

pjirayu

Config files for my GitHub profile.

STOS

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

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.

Shortcut_cmd

Library package for installing first time.

Computer-Vision-GAN-VAE-Course

This repo is the part of exercise in 109.2 ME5617702 Computer Vision for Home Security and Application, Taiwan Tech.

Learning-to-Reweight-Examples-for-Robust-Deep-Learning-with-PyTorch-Higher

An implementation of the paper "Learning to Reweight Examples for Robust Deep Learning" from ICML 2018 with PyTorch and Higher.

PCS-FUDA

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

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.

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

tutorials

PyTorch tutorials.

Classifying-Facial-Attributes-and-Accessories-with-LeNet.Tensorflow

Classifying Facial Attributes and Accessories with LeNet base on TensorFlow 2.0 framework (NOOB project)

Teacher-free-Knowledge-Distillation

Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization

simpletransformers

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

vision

Datasets, Transforms and Models specific to Computer Vision

KD_Lib

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

Awesome-Knowledge-Distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2020)。

Machine-Learning-Collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

machine-learning

pytorch-meta

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

powermeter

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

Data-Efficient-Model-Compression

Data Efficient Model Compression

pytorch-domain-adaptation

A collection of implementations of adversarial domain adaptation algorithms

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

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.

SoftTriple

PyTorch Implementation for SoftTriple Loss

MirrorGAN

Pytorch implementation of MirrorGAN

BTDA

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