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Auto-Sklearn is an open-source automated machine learning tool built around Sklearn. Sklearn (Scikit-learn) is an open-source machine learning library built upon Scientific Python (SciPy), providing a range of supervised and unsupervised learning algorithms. Auto-sklearn processes the tasks like feature selection, data preprocessing, hyperparameter optimization, model selection, and evaluation.
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Auto-PyTorch is one of the best AutoML tools, a machine learning automation toolkit built on top of PyTorch. PyTorch is an open source ML framework formulated on the Torch library, with applications in computer vision and natural language processing (NLP). The focus of the AutoML framework is enhanced with Auto-PyTorch by jointly combining optimization of traditional ML pipelines and the neural architecture.
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Auto-Keras is an open-source software library that implements AutoML for deep learning models using the Keras API. Keras is a high-level API that runs on top of TensorFlow and is written in Python. Auto-Keras automatically searches for architecture and hyperparameters of DL models by using Keras models via TensorFlow tf.keras API
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Google Cloud AutoML is an automated machine learning software that lets you train custom ML models without coding. Google Cloud AutoML was announced as a suite of machine learning products by Google in 2018. One of the latest products in Google Cloud AutoML is Vertex AI which helps you to build, deploy, and scale ML models faster. It contains a pretrained and custom tooling within a unified AI platform.
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DataRobot stands out among the best AutoML tools because it is an AutoML platform that manages and simplifies complex enterprise workflows. You can use the platform for any function to make predictions, perform what-if analysis, and automate & optimize model creation. The features of DataRobot include data formatting, feature engineering, model selection, hyperparameter tuning, and monitoring.
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BigML AutoML tool is an automated machine learning platform that offers to build and share the datasets & models. It can be considered software as a service (SaaS) that provides services to build complex ML-based solutions affordably by processing predictive patterns from the data into usable real-life intelligent applications. BigML is one of the best AutoML tools contributing to being a consumable, programmable, and scalable ML platform that gives easy solutions.
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H2O AutoML,also known as H2O, is an open-source distributed in-memory machine learning platform with linear scalability which supports statistical and machine learning algorithms. It is designed to have minimum parameters so that the process of automated training and tuning models is more accessible. All you need to do in H2O is point to the dataset, identify the response column, and specify a time constraint.
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MLBox is a dynamic and automated machine learning python library focusing on drift identification, entity embedding, and hyperparameter optimization. It has been developed and used by active community members of MLBox and is compatible with Linux, macOS & Windows operating systems, and Python versions 3.5 to 3.7 & 64-bit only.