AutoGluonWhat is AutoGluon?
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.
AutoGluon is a tool in the Development & Training Tools category of a tech stack.
Key Features
Quickly prototype deep learning solutions for your data with few lines of codeLeverage automatic hyperparameter tuning, model selection / architecture search, and data processingAutomatically utilize state-of-the-art deep learning techniques without expert knowledgeEasily improve existing bespoke models and data pipelines, or customize AutoGluon for your use-case
AutoGluon Pros & Cons
Pros of AutoGluon
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Cons of AutoGluon
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AutoGluon Alternatives & Comparisons
What are some alternatives to AutoGluon?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
