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.

MNIST Live Detection using OpenCV, Tensorflow Lite and AutoKeras

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.

Automated & Augmented ML Toolbox for Image Classification

A hands-on tutorial for using AutoKeras to train an image classification model for the identification of wildfires in satellite images.

ArcFace head module for Automated feature extraction/Deep Metric Learning with Autokeras

Medical Image Classification with On-Premise AutoML

Automated dataset classification and model architecture selection using Neural Architecture Search (NAS). Built with AutoKeras and Python.