Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
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Updated
Jun 10, 2024 - Python
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.
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.
Threat Intel Platform for T-POTs
Web app to demo predicting breast cancer using BMI, Glucose, Insulin, HOMA and Resistin.
Semi-automated machine learning pipelines
RapidML is a smart Python framework for rapidly prototyping Machine Learning APIs for the Web!
Automl with Featuretools generate features and use tpot to select model
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 …
Automatically find the optimal Machine Learning model using TPOT
Benchmark of current ML automation frameworks
Common Machine Learning Examples 💻
AutoML Libraries for training multiple ML models in one go with less code.
Starter repository for learning how to make machine learning models with voice data.
This repository contains an implementation of TPOT for obtaining optimal pipelines with the use of genetic algorithms.
Computational experiments for the paper "A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost" (IJCNN 2021)
An exercise repository for classification with iris dataset
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