vaseline555/Model-Agnostic-Meta-Learning-PyTorch

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vaseline555/Model-Agnostic-Meta-Learning-PyTorch

vaseline555

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Model Agnostic Meta Learning (Finn et al., 2017; MAML) implemented in PyTorch

Federated-Learning-in-PyTorch

Handy PyTorch implementation of Federated Learning (for your painless research)

Algorithms-for-Optimization-Python

Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Tim A. Wheeler

Jupyter Notebook

SuPerFed

(SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)

Federated-Learning-with-Flower

Simple simulation of federated learning (FedAvg) using Flower framework

Prototypical-Networks-PyTorch

Prototypical Networks (Snell et al., 2017; ProtoNet) implemented in PyTorch

T2D-Predictive-Modeling-for-Korean-with-gPRS-and-Metabolites

Source code of the paper, "Prediction of Type 2 Diabetes using Genome-wide Polygenic Risk Score and Metabolic Profiles: A Machine Learning Analysis of Population-based 10-year Prospective Cohort Study".

Blockchain-based-Electronic-Lab-Notebook

Course project of MGE450 Project Lab, UNIST (Hyperledger Composer)

Object-Oriented-Programming

Course works of CSE241 Object Oriented Programming, UNIST

Yelp-Restaurant-Photo-Classification

Past Kaggle competition : Yelp Restaurant Photo Classification

Jupyter Notebook

Least-Squares-Audio-Processing

Course project of MGE201 Operations Research I, UNIST

Classifying-Brain-Signal-of-Pain

Course project of MGE304 Management Engineering Methodologies, UNIST

vaseline555.github.io