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🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.
Threat Intel Platform for T-POTs
Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.
Stress classifier with AutoML
:tomato: A dynamic brain-responsive pomodoro timer
RapidML is a smart Python framework for rapidly prototyping Machine Learning APIs for the Web!
This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.
Occupancy detection of an office room from light, temperature, humidity and CO2 measurements
This project has 3 goals: To find out the best machine learning pipeline for predicting ASD cases using genetic algorithms, via the TPOT library. (Classification Problem) Compare the accuracy of the accuracy of the determined pipeline, with a standard Naive-Bayes classifier. Saving the classifier as an external file, and use this file in a Flask API to make predictions in the cloud.
Computational experiments for the paper "A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost" (IJCNN 2021)
Thanks to digitization, we often have access to large databases, consisting of various fields of information, ranging from numbers to texts and even boolean values. Such databases lend themselves especially well to machine learning, classification and big data analysis tasks. We are able to train classifiers, using already existing data and use them for predicting the values of a certain field, given that we have information regarding the other fields. Most specifically, in this study, we look at the Electronic Health Records (EHRs) that are compiled by hospitals. These EHRs are convenient means of accessing data of individual patients, but there processing as a whole still remains a task. However, EHRs that are composed of coherent, well-tabulated structures lend themselves quite well to the application to machine language, via the usage of classifiers. In this study, we look at a Blood Transfusion Service Center Data Set (Data taken from the Blood Transfusion Service Center in Hsin-Chu City in Taiwan). We used scikit-learn machine learning in python. From Support Vector Machines(SVM), we use Support Vector Classification(SVC), from the linear model we import Perceptron. We also used the K.neighborsclassifier and the decision tree classifiers. We segmented the database into the 2 parts. Using the first, we trained the classifiers and the next part was used to verify if the classifier prediction matched that of the actual values.
Benchmark of current ML automation frameworks
Semi-automated machine learning pipelines
Benchmark for some usual automated machine learning, such as: AutoSklearn, MLJAR, H2O, TPOT and AutoGluon. All visualized via a Dash Web Application
We will discuss the Hyper Parameter Tuning for different Machine Learning Algorithm
Regress using many metalearning packages including caret and TPOT from one script. Also artificial data generator, comparison script and several expiraments. Messy.
Learn and Explore
Web app to demo predicting breast cancer using BMI, Glucose, Insulin, HOMA and Resistin.
Repositório com projetos utilizando ferramentas e bibliotecas para automatização de etapas de projetos de data science.
Openproxy型ハニーポット
Explainable Automated Machine Learning Framework for Predicting the Risk of Major Adverse Cardiac Event (MACE)
Contextual search and AutoML on R datasets using spaCy and TPOT. Served as a Streamlit web app. 🔎🧙
Automl with Featuretools generate features and use tpot to select model
Breast Cancer Diagnosis and Prognosis Estimatior Using TPOT
This repository contains an implementation of TPOT for obtaining optimal pipelines with the use of genetic algorithms.
A case study on MPG dataset.
The Web Attackmap currently in T-Pot CE is not half bad, but it's really not optimized for running 24/7 on a dashboard monitor etc. This is just that. Scraped, tuned, optimized for running on big screen TV 24/7. Made in NodeJS, supports connecting directly to tpotce-map_redis for fast implementation
Capstone Project Coding Dojo Data Science Bootcamp
This repo is used for final project of CISC849
This repo contains code file of all the AutoML libraries.