AutoGluon vs Tensorflow Lite

AutoGluon vs Tensorflow Lite: What are the differences?

What is AutoGluon? *AutoML Toolkit for Deep Learning *. It automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy deep learning models on image, text, and tabular data.

What is Tensorflow Lite? Deploy machine learning models on mobile and IoT devices. It is a set of tools to help developers run TensorFlow models on mobile, embedded, and IoT devices. It enables on-device machine learning inference with low latency and a small binary size.

AutoGluon and Tensorflow Lite belong to "Machine Learning Tools" category of the tech stack.

Some of the features offered by AutoGluon are:

• Quickly prototype deep learning solutions for your data with few lines of code
• Leverage automatic hyperparameter tuning, model selection / architecture search, and data processing
• Automatically utilize state-of-the-art deep learning techniques without expert knowledge

On the other hand, Tensorflow Lite provides the following key features:

• Lightweight solution for mobile and embedded devices
• Enables low-latency inference of on-device machine learning models with a small binary size
• Fast performance

AutoGluon is an open source tool with 2.13K GitHub stars and 246 GitHub forks. Here's a link to AutoGluon's open source repository on GitHub.