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Autoviz ⭐ 1,550

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

Auto_ts ⭐ 634

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

Auto_viml ⭐ 473

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.

Deep_autoviml ⭐ 117

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.

Greedybear ⭐ 116

Threat Intel Platform for T-POTs

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

Wearable_stress_classification ⭐ 35

Stress classifier with AutoML

Python EWS Backend API

Semi-automated machine learning pipelines

Automl Benchmark ⭐ 6

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

Blooddonorprediction ⭐ 6

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 a

Autoautoml ⭐ 6

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

Predictive Maintenance With Machine Learning ⭐ 5

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

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