Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

• UpdatedJun 10, 2024
• Python

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

• UpdatedAug 20, 2024
• Jupyter Notebook

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

• UpdatedJan 30, 2025
• Python

Threat Intel Platform for T-POTs

• UpdatedMar 4, 2025
• Python

🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.

• UpdatedSep 21, 2023
• Python

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.

• UpdatedMay 9, 2024
• Python

This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.

• UpdatedSep 29, 2022
• Jupyter Notebook

🍅 A dynamic brain-responsive pomodoro timer

• UpdatedFeb 16, 2018
• Jupyter Notebook

Stress classifier with AutoML

• UpdatedMay 10, 2019
• HTML

RapidML is a smart Python framework for rapidly prototyping Machine Learning APIs for the Web!

• UpdatedJul 24, 2018
• Python

Occupancy detection of an office room from light, temperature, humidity and CO2 measurements

• UpdatedMar 29, 2017
• Jupyter Notebook

tpot is a simple tool to access teleport web UI from terminal

• UpdatedJun 24, 2024
• Go

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…

• UpdatedMay 27, 2020
• Rich Text Format

Computational experiments for the paper "A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost" (IJCNN 2021)

• UpdatedSep 8, 2022
• Python

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 …

• UpdatedAug 4, 2018
• Python

Benchmark of current ML automation frameworks

• UpdatedJul 23, 2020
• Python

Benchmark for some usual automated machine learning, such as: AutoSklearn, MLJAR, H2O, TPOT and AutoGluon. All visualized via a Dash Web Application

• UpdatedJan 31, 2024
• Python

Semi-automated machine learning pipelines

• UpdatedMay 23, 2018
• Python

We will discuss the Hyper Parameter Tuning for different Machine Learning Algorithm

• UpdatedOct 20, 2020
• Jupyter Notebook

Regress using many metalearning packages including caret and TPOT from one script. Also artificial data generator, comparison script and several expiraments. Messy.

• UpdatedMay 26, 2024
• R