This repo contains all background of the : HAM1000 Dataset balancing / Proposed CNN architectures / Various proposed and benchmarked CNN models
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Updated
Jun 21, 2024 - Jupyter Notebook
This repo contains all background of the : HAM1000 Dataset balancing / Proposed CNN architectures / Various proposed and benchmarked CNN models
Report on the AutoKeras Network Architecture Search.
2022년 2학기 팀 프로젝트 : 도금공정 데이터 셋 분석(k-인공지능 제조데이터 분석 경진대회)
ArcFace head module for Automated feature extraction/Deep Metric Learning with Autokeras
A research project involving the development of an explainable data-driven machine learning model to aid in geothermal drilling.
Medical Image Classification with On-Premise AutoML
Automated dataset classification and model architecture selection using Neural Architecture Search (NAS). Built with AutoKeras and Python.
This repository includes sample code for AutoML tools AutoGluon, AutoKeras, AutoSklearn, H2O, PyCaret, TPOT
This the final project for CPSC 483 (Introduction to Machine Learning). We developed a machine learning model for classifying medical images.
A hands-on tutorial for using AutoKeras to train an image classification model for the identification of wildfires in satellite images.
A user-friendly system that uses NLP and AutoKeras to automatically generate neural network architectures from natural language input. It leverages Neural Architecture Search (NAS) to build optimized deep learning models for tasks like image/text classification, time series forecasting, regression, and sentiment analysis.
Build and employ an automated machine learning model on AutoKeras image dataset
This project explores how AutoML simplifies machine learning workflows by automating model selection, hyperparameter tuning, and evaluation, comparing tools like TPOT, H2O, and AutoKeras, and culminating in a custom-built AutoML system from scratch.
Collection of hands-on projects developed during my journey to master data science concepts and techniques.
Kaggle competition - Spectrogram classification
Convolutional Neural Network vs Multilayer Perceptron in Image Classification
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